annotate recommend.py @ 3:ecf125a1ad73 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit fb1fc1e3a062adfb1a78cd46aafd6a6e9f1e3bab
author rnateam
date Tue, 19 Jul 2016 10:22:02 -0400
parents 8918de535391
children a609d6dc8047
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8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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1 """Recommend RNAs."""
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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2 from __future__ import print_function
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4 import cPickle
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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5 import sys
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6 from itertools import izip
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8 from utils import get_serendipity_val
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10 __author__ = "Gianluca Corrado"
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11 __copyright__ = "Copyright 2016, Gianluca Corrado"
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12 __license__ = "MIT"
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13 __maintainer__ = "Gianluca Corrado"
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14 __email__ = "gianluca.corrado@unitn.it"
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15 __status__ = "Production"
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18 class Predictor():
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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19 """Predict interactions."""
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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21 def __init__(self, predict_dataset, trained_model, serendipity_dic=None,
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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22 output=None):
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23 """
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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24 Constructor.
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25
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26 Parameters
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27 ------
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28 predict_dataset : data.PredictDataset
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29 Dataset containing the examples to predict.
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31 trained_model : str
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32 File name of the trained model.
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33
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34 serendipity_dic : dict (default : None)
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35 Dictionary with serendipy values.
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36
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37 output : str (default : None)
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38 Output file. If None then STDOUT.
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39 """
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40 self.predict_dataset = predict_dataset
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41 f = open(trained_model)
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42 self.model = cPickle.load(f)
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43 f.close()
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44 try:
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45 f = open(serendipity_dic)
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46 self.serendipity_dic = cPickle.load(f)
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47 f.close()
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48 except:
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49 self.serendipity_dic = None
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50 self.output = output
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51
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52 def predict(self):
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53 """Predict interaction values."""
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54 # predict the y_hat
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55 (p, p_names, r, r_names) = self.predict_dataset
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56 y_hat = self.model.predict(p, r)
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57 # sort the interactions according to y_hat
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58 ordering = sorted(range(len(y_hat)),
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59 key=lambda x: y_hat[x], reverse=True)
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60 p_names = p_names[ordering]
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61 r_names = r_names[ordering]
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62 y_hat = y_hat[ordering]
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63
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64 # output to STDOUT
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65 if self.output is None:
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66 print("RBP\ttarget\ty_hat\tserendipity")
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67 if self.serendipity_dic is None:
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68 for (p_, r_, s_) in izip(p_names, r_names, y_hat):
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69 print("%s\t%s\t%.3f\t---" % (p_, r_, s_))
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70 sys.stdout.flush()
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71 else:
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72 for (p_, r_, s_) in izip(p_names, r_names, y_hat):
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73 print("%s\t%s\t%.3f\t%.2f" %
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74 (p_, r_, s_,
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75 get_serendipity_val(self.serendipity_dic, r_)))
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76 sys.stdout.flush()
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77 # output to file
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78 else:
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79 nf = open(self.output, "w")
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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parents:
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80 nf.write("RBP\ttarget\ty_hat\tserendipity\n")
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
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parents:
diff changeset
81 if self.serendipity_dic is None:
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
rnateam
parents:
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82 for (p_, r_, s_) in izip(p_names, r_names, y_hat):
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
rnateam
parents:
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83 nf.write("%s\t%s\t%.3f\t---\n" % (p_, r_, s_))
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
rnateam
parents:
diff changeset
84 else:
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
rnateam
parents:
diff changeset
85 for (p_, r_, s_) in izip(p_names, r_names, y_hat):
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
rnateam
parents:
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86 nf.write("%s\t%s\t%.3f\t%.2f\n" %
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
rnateam
parents:
diff changeset
87 (p_, r_, s_,
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
rnateam
parents:
diff changeset
88 get_serendipity_val(self.serendipity_dic, r_)))
8918de535391 planemo upload for repository https://github.com/bgruening/galaxytools/tree/rna_commander/tools/rna_tools/rna_commender commit 2fc7f3c08f30e2d81dc4ad19759dfe7ba9b0a3a1
rnateam
parents:
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89 nf.close()