annotate Marea/marea_cluster.py @ 11:d185506631e1 draft

Uploaded
author bimib
date Wed, 13 Feb 2019 05:06:53 -0500
parents 2405255d6a09
children 3d77287caf22
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0
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bimib
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1
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bimib
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2 from __future__ import division
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bimib
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3 import os
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bimib
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4 import sys
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bimib
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5 import pandas as pd
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bimib
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6 import collections
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bimib
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7 import pickle as pk
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bimib
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8 import argparse
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bimib
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9 from sklearn.cluster import KMeans
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bimib
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10 import matplotlib.pyplot as plt
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bimib
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11
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bimib
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12 ########################## argparse ###########################################
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bimib
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13
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bimib
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14 def process_args(args):
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bimib
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15 parser = argparse.ArgumentParser(usage = '%(prog)s [options]',
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bimib
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16 description = 'process some value\'s' +
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bimib
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17 ' genes to create class.')
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bimib
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18 parser.add_argument('-rs', '--rules_selector',
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bimib
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19 type = str,
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bimib
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20 default = 'HMRcore',
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bimib
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21 choices = ['HMRcore', 'Recon', 'Custom'],
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bimib
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22 help = 'chose which type of dataset you want use')
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bimib
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23 parser.add_argument('-cr', '--custom',
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bimib
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24 type = str,
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bimib
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25 help='your dataset if you want custom rules')
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bimib
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26 parser.add_argument('-ch', '--cond_hier',
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bimib
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27 type = str,
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bimib
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28 default = 'no',
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bimib
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29 choices = ['no', 'yes'],
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bimib
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30 help = 'chose if you wanna hierical dendrogram')
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bimib
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31 parser.add_argument('-lk', '--k_min',
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bimib
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32 type = int,
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bimib
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33 help = 'min number of cluster')
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bimib
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34 parser.add_argument('-uk', '--k_max',
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bimib
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35 type = int,
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bimib
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36 help = 'max number of cluster')
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bimib
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37 parser.add_argument('-li', '--linkage',
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bimib
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38 type = str,
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bimib
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39 choices = ['single', 'complete', 'average'],
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bimib
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40 help='linkage hierarchical cluster')
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bimib
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41 parser.add_argument('-d', '--data',
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bimib
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42 type = str,
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bimib
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43 required = True,
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bimib
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44 help = 'input dataset')
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bimib
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45 parser.add_argument('-n', '--none',
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bimib
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46 type = str,
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bimib
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47 default = 'true',
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bimib
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48 choices = ['true', 'false'],
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bimib
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49 help = 'compute Nan values')
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50 parser.add_argument('-td', '--tool_dir',
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51 type = str,
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bimib
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52 required = True,
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bimib
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53 help = 'your tool directory')
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bimib
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54 parser.add_argument('-na', '--name',
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55 type = str,
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bimib
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56 help = 'name of dataset')
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57 parser.add_argument('-de', '--dendro',
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bimib
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58 help = "Dendrogram out")
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bimib
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59 parser.add_argument('-ol', '--out_log',
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bimib
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60 help = "Output log")
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61 parser.add_argument('-el', '--elbow',
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bimib
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62 help = "Out elbow")
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bimib
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63 args = parser.parse_args()
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bimib
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64 return args
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65
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bimib
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66 ########################### warning ###########################################
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67
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bimib
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68 def warning(s):
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69 args = process_args(sys.argv)
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bimib
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70 with open(args.out_log, 'a') as log:
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71 log.write(s)
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72
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bimib
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73 ############################ dataset input ####################################
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74
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bimib
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75 def read_dataset(data, name):
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bimib
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76 try:
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77 dataset = pd.read_csv(data, sep = '\t', header = 0)
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bimib
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78 except pd.errors.EmptyDataError:
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79 sys.exit('Execution aborted: wrong format of '+name+'\n')
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80 if len(dataset.columns) < 2:
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81 sys.exit('Execution aborted: wrong format of '+name+'\n')
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bimib
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82 return dataset
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bimib
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83
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bimib
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84 ############################ dataset name #####################################
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85
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bimib
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86 def name_dataset(name_data, count):
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87 if str(name_data) == 'Dataset':
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bimib
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88 return str(name_data) + '_' + str(count)
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bimib
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89 else:
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bimib
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90 return str(name_data)
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bimib
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91
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bimib
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92 ############################ load id e rules ##################################
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93
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bimib
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94 def load_id_rules(reactions):
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95 ids, rules = [], []
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bimib
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96 for key, value in reactions.items():
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97 ids.append(key)
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bimib
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98 rules.append(value)
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bimib
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99 return (ids, rules)
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bimib
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100
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bimib
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101 ############################ check_methods ####################################
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102
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103 def gene_type(l, name):
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104 if check_hgnc(l):
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105 return 'hugo_id'
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106 elif check_ensembl(l):
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107 return 'ensembl_gene_id'
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bimib
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108 elif check_symbol(l):
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109 return 'symbol'
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bimib
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110 elif check_entrez(l):
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111 return 'entrez_id'
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112 else:
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113 sys.exit('Execution aborted:\n' +
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114 'gene ID type in ' + name + ' not supported. Supported ID' +
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115 'types are: HUGO ID, Ensemble ID, HUGO symbol, Entrez ID\n')
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116
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117 def check_hgnc(l):
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118 if len(l) > 5:
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119 if (l.upper()).startswith('HGNC:'):
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120 return l[5:].isdigit()
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121 else:
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bimib
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122 return False
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123 else:
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bimib
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124 return False
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125
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126 def check_ensembl(l):
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127 if len(l) == 15:
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128 if (l.upper()).startswith('ENS'):
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bimib
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129 return l[4:].isdigit()
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130 else:
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bimib
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131 return False
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132 else:
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bimib
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133 return False
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134
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135 def check_symbol(l):
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136 if len(l) > 0:
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bimib
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137 if l[0].isalpha() and l[1:].isalnum():
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bimib
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138 return True
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bimib
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139 else:
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bimib
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140 return False
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bimib
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141 else:
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bimib
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142 return False
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bimib
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143
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bimib
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144 def check_entrez(l):
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bimib
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145 if len(l) > 0:
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bimib
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146 return l.isdigit()
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bimib
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147 else:
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bimib
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148 return False
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149
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bimib
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150 def check_bool(b):
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bimib
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151 if b == 'true':
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bimib
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152 return True
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bimib
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153 elif b == 'false':
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bimib
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154 return False
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bimib
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155
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bimib
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156 ############################ make recon #######################################
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157
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bimib
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158 def check_and_doWord(l):
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159 tmp = []
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bimib
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160 tmp_genes = []
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bimib
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161 count = 0
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bimib
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162 while l:
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bimib
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163 if count >= 0:
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bimib
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164 if l[0] == '(':
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bimib
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165 count += 1
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bimib
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166 tmp.append(l[0])
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bimib
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167 l.pop(0)
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bimib
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168 elif l[0] == ')':
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bimib
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169 count -= 1
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bimib
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170 tmp.append(l[0])
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bimib
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171 l.pop(0)
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bimib
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172 elif l[0] == ' ':
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bimib
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173 l.pop(0)
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bimib
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174 else:
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bimib
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175 word = []
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bimib
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176 while l:
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bimib
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177 if l[0] in [' ', '(', ')']:
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bimib
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178 break
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bimib
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179 else:
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bimib
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180 word.append(l[0])
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bimib
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181 l.pop(0)
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bimib
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182 word = ''.join(word)
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bimib
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183 tmp.append(word)
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bimib
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184 if not(word in ['or', 'and']):
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185 tmp_genes.append(word)
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bimib
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186 else:
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bimib
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187 return False
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bimib
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188 if count == 0:
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bimib
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189 return (tmp, tmp_genes)
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bimib
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190 else:
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bimib
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191 return False
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bimib
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192
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bimib
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193 def brackets_to_list(l):
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bimib
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194 tmp = []
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bimib
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195 while l:
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bimib
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196 if l[0] == '(':
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bimib
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197 l.pop(0)
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bimib
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198 tmp.append(resolve_brackets(l))
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bimib
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199 else:
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bimib
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200 tmp.append(l[0])
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bimib
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201 l.pop(0)
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bimib
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202 return tmp
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bimib
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203
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bimib
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204 def resolve_brackets(l):
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bimib
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205 tmp = []
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bimib
parents:
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206 while l[0] != ')':
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bimib
parents:
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207 if l[0] == '(':
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bimib
parents:
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208 l.pop(0)
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bimib
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209 tmp.append(resolve_brackets(l))
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bimib
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210 else:
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bimib
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211 tmp.append(l[0])
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bimib
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212 l.pop(0)
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bimib
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213 l.pop(0)
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bimib
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214 return tmp
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bimib
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215
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bimib
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216 def priorityAND(l):
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217 tmp = []
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bimib
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218 flag = True
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bimib
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219 while l:
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bimib
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220 if len(l) == 1:
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bimib
parents:
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221 if isinstance(l[0], list):
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bimib
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222 tmp.append(priorityAND(l[0]))
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bimib
parents:
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223 else:
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bimib
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224 tmp.append(l[0])
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bimib
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225 l = l[1:]
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bimib
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226 elif l[0] == 'or':
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bimib
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227 tmp.append(l[0])
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bimib
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228 flag = False
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bimib
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229 l = l[1:]
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bimib
parents:
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230 elif l[1] == 'or':
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bimib
parents:
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231 if isinstance(l[0], list):
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bimib
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232 tmp.append(priorityAND(l[0]))
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bimib
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233 else:
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bimib
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diff changeset
234 tmp.append(l[0])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
235 tmp.append(l[1])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
236 flag = False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
237 l = l[2:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
238 elif l[1] == 'and':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
239 tmpAnd = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
240 if isinstance(l[0], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
241 tmpAnd.append(priorityAND(l[0]))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
242 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
243 tmpAnd.append(l[0])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
244 tmpAnd.append(l[1])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
245 if isinstance(l[2], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
246 tmpAnd.append(priorityAND(l[2]))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
247 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
248 tmpAnd.append(l[2])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
249 l = l[3:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
250 while l:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
251 if l[0] == 'and':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
252 tmpAnd.append(l[0])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
253 if isinstance(l[1], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
254 tmpAnd.append(priorityAND(l[1]))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
255 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
256 tmpAnd.append(l[1])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
257 l = l[2:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
258 elif l[0] == 'or':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
259 flag = False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
260 break
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
261 if flag == True: #se ci sono solo AND nella lista
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
262 tmp.extend(tmpAnd)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
263 elif flag == False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
264 tmp.append(tmpAnd)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
265 return tmp
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
266
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
267 def checkRule(l):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
268 if len(l) == 1:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
269 if isinstance(l[0], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
270 if checkRule(l[0]) is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
271 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
272 elif len(l) > 2:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
273 if checkRule2(l) is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
274 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
275 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
276 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
277 return True
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
278
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
279 def checkRule2(l):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
280 while l:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
281 if len(l) == 1:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
282 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
283 elif isinstance(l[0], list) and l[1] in ['and', 'or']:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
284 if checkRule(l[0]) is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
285 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
286 if isinstance(l[2], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
287 if checkRule(l[2]) is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
288 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
289 l = l[3:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
290 elif l[1] in ['and', 'or']:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
291 if isinstance(l[2], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
292 if checkRule(l[2]) is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
293 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
294 l = l[3:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
295 elif l[0] in ['and', 'or']:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
296 if isinstance(l[1], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
297 if checkRule(l[1]) is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
298 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
299 l = l[2:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
300 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
301 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
302 return True
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
303
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
304 def do_rules(rules):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
305 split_rules = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
306 err_rules = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
307 tmp_gene_in_rule = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
308 for i in range(len(rules)):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
309 tmp = list(rules[i])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
310 if tmp:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
311 tmp, tmp_genes = check_and_doWord(tmp)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
312 tmp_gene_in_rule.extend(tmp_genes)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
313 if tmp is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
314 split_rules.append([])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
315 err_rules.append(rules[i])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
316 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
317 tmp = brackets_to_list(tmp)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
318 if checkRule(tmp):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
319 split_rules.append(priorityAND(tmp))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
320 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
321 split_rules.append([])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
322 err_rules.append(rules[i])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
323 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
324 split_rules.append([])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
325 if err_rules:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
326 warning('Warning: wrong format rule in ' + str(err_rules) + '\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
327 return (split_rules, list(set(tmp_gene_in_rule)))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
328
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
329 def make_recon(data):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
330 try:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
331 import cobra as cb
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
332 import warnings
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
333 with warnings.catch_warnings():
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
334 warnings.simplefilter('ignore')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
335 recon = cb.io.read_sbml_model(data)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
336 react = recon.reactions
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
337 rules = [react[i].gene_reaction_rule for i in range(len(react))]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
338 ids = [react[i].id for i in range(len(react))]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
339 except cb.io.sbml3.CobraSBMLError:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
340 try:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
341 data = (pd.read_csv(data, sep = '\t', dtype = str)).fillna('')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
342 if len(data.columns) < 2:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
343 sys.exit('Execution aborted: wrong format of ' +
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
344 'custom GPR rules\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
345 if not len(data.columns) == 2:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
346 warning('WARNING: more than 2 columns in custom GPR rules.\n' +
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
347 'Extra columns have been disregarded\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
348 ids = list(data.iloc[:, 0])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
349 rules = list(data.iloc[:, 1])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
350 except pd.errors.EmptyDataError:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
351 sys.exit('Execution aborted: wrong format of custom GPR rules\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
352 except pd.errors.ParserError:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
353 sys.exit('Execution aborted: wrong format of custom GPR rules\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
354 split_rules, tmp_genes = do_rules(rules)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
355 gene_in_rule = {}
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
356 for i in tmp_genes:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
357 gene_in_rule[i] = 'ok'
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
358 return (ids, split_rules, gene_in_rule)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
359
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
360 ############################ resolve_methods ##################################
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
361
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
362 def replace_gene_value(l, d):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
363 tmp = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
364 err = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
365 while l:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
366 if isinstance(l[0], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
367 tmp_rules, tmp_err = replace_gene_value(l[0], d)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
368 tmp.append(tmp_rules)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
369 err.extend(tmp_err)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
370 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
371 value = replace_gene(l[0],d)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
372 tmp.append(value)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
373 if value == None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
374 err.append(l[0])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
375 l = l[1:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
376 return (tmp, err)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
377
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
378 def replace_gene(l, d):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
379 if l =='and' or l == 'or':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
380 return l
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
381 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
382 value = d.get(l, None)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
383 if not(value == None or isinstance(value, (int, float))):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
384 sys.exit('Execution aborted: ' + value + ' value not valid\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
385 return value
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
386
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
387 def compute(val1, op, val2, cn):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
388 if val1 != None and val2 != None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
389 if op == 'and':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
390 return min(val1, val2)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
391 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
392 return val1 + val2
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
393 elif op == 'and':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
394 if cn is True:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
395 if val1 != None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
396 return val1
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
397 elif val2 != None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
398 return val2
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
399 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
400 return None
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
401 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
402 return None
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
403 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
404 if val1 != None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
405 return val1
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
406 elif val2 != None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
407 return val2
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
408 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
409 return None
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
410
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
411 def control(ris, l, cn):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
412 if len(l) == 1:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
413 if isinstance(l[0], (float, int)) or l[0] == None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
414 return l[0]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
415 elif isinstance(l[0], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
416 return control(None, l[0], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
417 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
418 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
419 elif len(l) > 2:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
420 return control_list(ris, l, cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
421 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
422 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
423
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
424 def control_list(ris, l, cn):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
425 while l:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
426 if len(l) == 1:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
427 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
428 elif (isinstance(l[0], (float, int)) or
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
429 l[0] == None) and l[1] in ['and', 'or']:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
430 if isinstance(l[2], (float, int)) or l[2] == None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
431 ris = compute(l[0], l[1], l[2], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
432 elif isinstance(l[2], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
433 tmp = control(None, l[2], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
434 if tmp is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
435 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
436 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
437 ris = compute(l[0], l[1], tmp, cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
438 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
439 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
440 l = l[3:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
441 elif l[0] in ['and', 'or']:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
442 if isinstance(l[1], (float, int)) or l[1] == None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
443 ris = compute(ris, l[0], l[1], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
444 elif isinstance(l[1], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
445 tmp = control(None,l[1], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
446 if tmp is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
447 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
448 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
449 ris = compute(ris, l[0], tmp, cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
450 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
451 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
452 l = l[2:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
453 elif isinstance(l[0], list) and l[1] in ['and', 'or']:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
454 if isinstance(l[2], (float, int)) or l[2] == None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
455 tmp = control(None, l[0], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
456 if tmp is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
457 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
458 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
459 ris = compute(tmp, l[1], l[2], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
460 elif isinstance(l[2], list):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
461 tmp = control(None, l[0], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
462 tmp2 = control(None, l[2], cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
463 if tmp is False or tmp2 is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
464 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
465 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
466 ris = compute(tmp, l[1], tmp2, cn)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
467 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
468 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
469 l = l[3:]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
470 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
471 return False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
472 return ris
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
473
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
474 ############################ gene #############################################
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
475
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
476 def data_gene(gene, type_gene, name, gene_custom):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
477 args = process_args(sys.argv)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
478 for i in range(len(gene)):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
479 tmp = gene.iloc[i, 0]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
480 if tmp.startswith(' ') or tmp.endswith(' '):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
481 gene.iloc[i, 0] = (tmp.lstrip()).rstrip()
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
482 gene_dup = [item for item, count in
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
483 collections.Counter(gene[gene.columns[0]]).items() if count > 1]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
484 pat_dup = [item for item, count in
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
485 collections.Counter(list(gene.columns)).items() if count > 1]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
486 if gene_dup:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
487 if gene_custom == None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
488 if args.rules_selector == 'HMRcore':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
489 gene_in_rule = pk.load(open(args.tool_dir +
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
490 '/local/HMRcore_genes.p', 'rb'))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
491 elif args.rules_selector == 'Recon':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
492 gene_in_rule = pk.load(open(args.tool_dir +
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
493 '/local/Recon_genes.p', 'rb'))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
494 gene_in_rule = gene_in_rule.get(type_gene)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
495 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
496 gene_in_rule = gene_custom
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
497 tmp = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
498 for i in gene_dup:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
499 if gene_in_rule.get(i) == 'ok':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
500 tmp.append(i)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
501 if tmp:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
502 sys.exit('Execution aborted because gene ID '
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
503 + str(tmp) + ' in ' + name + ' is duplicated\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
504 if pat_dup:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
505 sys.exit('Execution aborted: duplicated label\n'
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
506 + str(pat_dup) + 'in ' + name + '\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
507 return (gene.set_index(gene.columns[0])).to_dict()
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
508
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
509 ############################ resolve ##########################################
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
510
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
511 def resolve(genes, rules, ids, resolve_none, name):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
512 resolve_rules = {}
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
513 not_found = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
514 flag = False
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
515 for key, value in genes.items():
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
516 tmp_resolve = []
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
517 for i in range(len(rules)):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
518 tmp = rules[i]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
519 if tmp:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
520 tmp, err = replace_gene_value(tmp, value)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
521 if err:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
522 not_found.extend(err)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
523 ris = control(None, tmp, resolve_none)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
524 if ris is False or ris == None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
525 tmp_resolve.append(None)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
526 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
527 tmp_resolve.append(ris)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
528 flag = True
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
529 else:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
530 tmp_resolve.append(None)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
531 resolve_rules[key] = tmp_resolve
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
532 if flag is False:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
533 sys.exit('Execution aborted: no computable score' +
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
534 ' (due to missing gene values) for class '
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
535 + name + ', the class has been disregarded\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
536 return (resolve_rules, list(set(not_found)))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
537
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
538 ################################# clustering ##################################
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
539
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
540 def f_cluster(resolve_rules):
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
541 os.makedirs('cluster_out')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
542 args = process_args(sys.argv)
10
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
543 k_min = args.k_min
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
544 k_max = args.k_max
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
545 if k_min > k_max:
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
546 warning('k range boundaries inverted.\n')
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
547 tmp = k_min
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
548 k_min = k_max
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
549 k_max = tmp
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
550 else:
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
551 warning('k range correct.\n')
0
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
552 cluster_data = pd.DataFrame.from_dict(resolve_rules, orient = 'index')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
553 for i in cluster_data.columns:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
554 tmp = cluster_data[i][0]
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
555 if tmp == None:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
556 cluster_data = cluster_data.drop(columns=[i])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
557 distorsion = []
10
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
558 for i in range(k_min, k_max+1):
0
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
559 tmp_kmeans = KMeans(n_clusters = i,
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
560 n_init = 100,
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
561 max_iter = 300,
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
562 random_state = 0).fit(cluster_data)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
563 distorsion.append(tmp_kmeans.inertia_)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
564 predict = tmp_kmeans.predict(cluster_data)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
565 predict = [x+1 for x in predict]
7
771a40335876 enchanted .py
bimib
parents: 6
diff changeset
566 classe = (pd.DataFrame(list(zip(cluster_data.index, predict)))).astype(str)
0
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
567 dest = 'cluster_out/K=' + str(i) + '_' + args.name+'.tsv'
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
568 classe.to_csv(dest, sep = '\t', index = False,
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
569 header = ['Patient_ID', 'Class'])
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
570 plt.figure(0)
10
2405255d6a09 Uploaded
bimib
parents: 9
diff changeset
571 plt.plot(range(k_min, k_max+1), distorsion, marker = 'o')
0
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
572 plt.xlabel('Number of cluster')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
573 plt.ylabel('Distorsion')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
574 plt.savefig(args.elbow, dpi = 240, format = 'pdf')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
575 if args.cond_hier == 'yes':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
576 import scipy.cluster.hierarchy as hier
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
577 lin = hier.linkage(cluster_data, args.linkage)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
578 plt.figure(1)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
579 plt.figure(figsize=(10, 5))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
580 hier.dendrogram(lin, leaf_font_size = 2, labels = cluster_data.index)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
581 plt.savefig(args.dendro, dpi = 480, format = 'pdf')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
582 return None
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
583
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
584 ################################# main ########################################
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
585
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
586 def main():
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
587 args = process_args(sys.argv)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
588 if args.rules_selector == 'HMRcore':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
589 recon = pk.load(open(args.tool_dir + '/local/HMRcore_rules.p', 'rb'))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
590 elif args.rules_selector == 'Recon':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
591 recon = pk.load(open(args.tool_dir + '/local/Recon_rules.p', 'rb'))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
592 elif args.rules_selector == 'Custom':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
593 ids, rules, gene_in_rule = make_recon(args.custom)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
594 resolve_none = check_bool(args.none)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
595 dataset = read_dataset(args.data, args.name)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
596 dataset.iloc[:, 0] = (dataset.iloc[:, 0]).astype(str)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
597 type_gene = gene_type(dataset.iloc[0, 0], args.name)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
598 if args.rules_selector != 'Custom':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
599 genes = data_gene(dataset, type_gene, args.name, None)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
600 ids, rules = load_id_rules(recon.get(type_gene))
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
601 elif args.rules_selector == 'Custom':
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
602 genes = data_gene(dataset, type_gene, args.name, gene_in_rule)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
603 resolve_rules, err = resolve(genes, rules, ids, resolve_none, args.name)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
604 if err:
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
605 warning('WARNING: gene\n' + str(err) + '\nnot found in class '
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
606 + args.name + ', the expression level for this gene ' +
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
607 'will be considered NaN\n')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
608 f_cluster(resolve_rules)
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
609 warning('Execution succeeded')
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
610 return None
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
611
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
612 ###############################################################################
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
613
23ac9cf12788 Uploaded
bimib
parents:
diff changeset
614 if __name__ == "__main__":
6
5721182715a7 xml requirement
bimib
parents: 0
diff changeset
615 main()