# HG changeset patch
# User ppericard
# Date 1592956655 14400
# Node ID d0b77b92686383a66176ea7756c5fb17d7ecb20c
"planemo upload for repository https://gitlab.com/bilille/galaxy-viscorvar commit 85dac6b13a9adce48b47b2b8cb28d2319ae9c1ca-dirty"
diff -r 000000000000 -r d0b77b926863 LICENSE
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/LICENSE Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,661 @@
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+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+ 17. Interpretation of Sections 15 and 16.
+
+ If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+ END OF TERMS AND CONDITIONS
+
+ How to Apply These Terms to Your New Programs
+
+ If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+ To do so, attach the following notices to the program. It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+
+ Copyright (C)
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU Affero General Public License as published
+ by the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Affero General Public License for more details.
+
+ You should have received a copy of the GNU Affero General Public License
+ along with this program. If not, see .
+
+Also add information on how to contact you by electronic and paper mail.
+
+ If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source. For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code. There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+ You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+.
diff -r 000000000000 -r d0b77b926863 README.md
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/README.md Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,70 @@
+# galaxy-mixomics-blocksplsda
+Galaxy wrappers for the block.splsda, plotIndiv and plotVar functions from the mixOmics R package
+
+# Install for developers
+
+Clone repository
+
+```
+$ git clone --recurse-submodules https://gitlab.com/bilille/galaxy-mixomics-blocksplsda.git
+```
+
+Add `galaxy-mixomics-blocksplsda` repository to `$GALAXYDIR/tools` directory.
+
+Edit `$GALAXYDIR/config/tool_conf.xml` and add:
+
+```
+
+```
+
+# Preparing Galaxy conda manual environment for visCorVar
+
+Activate Galaxy self-installed conda (for your shell; bash here) and reload terminal
+
+```
+$ . $GALAXYDIR/database/dependencies/_conda/bin/conda init bash
+```
+
+Create and activate conda environment for visCorVar package
+
+```
+$ conda create --name __viscorvar@0.1 && conda activate __viscorvar@0.1
+```
+
+Install dependencies
+
+```
+$ conda install bioconductor-mixomics r-rdpack r-igraph
+```
+
+Manually install visCorVar package from repository
+
+```
+$ R
+
+> install.packages("https://gitlab.com/bilille/mixomics-blocksplsda-integration/-/raw/master/visCorVar_0.1.tar.gz", repos=NULL)
+> library(visCorVar)
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff -r 000000000000 -r d0b77b926863 additional_functions_block_splsda.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/additional_functions_block_splsda.R Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,104 @@
+#' @title Check if a block contains missing values
+#' @description Check if a block contains missing values
+#' @param list_X type : list of matrix. This list is used to perform the data integration.
+#' @details This function checks if a block contains missing values.
+#' @return type : boolean. If at least one block contains missing values,
+#' this function returns TRUE, otherwise this function returns FALSE.
+#' @examples
+#' X1 = matrix(1:9, nrow = 3, ncol = 3)
+#' X2 = matrix(10:18, nrow = 3, ncol = 3)
+#' list_X = list()
+#' list_X[[1]] = X1
+#' list_X[[2]] = X2
+#' names(list_X) = c("X1", "X2")
+#' boolean_block_missing_values = blockMissingValues(list_X)
+#' @export
+blockMissingValues <-function(list_X)
+{
+ name_blocks = names(list_X)
+ name_blocks_missing_values = c()
+ boolean_block_missing_values = FALSE
+
+ for(i in 1:length(list_X))
+ {
+ X_i = list_X[[i]]
+ name_block_i = name_blocks[i]
+
+ vec = sapply(1:dim(X_i)[2], FUN = function(j){
+ res = any(is.na(X_i[, j]))
+
+ return(res)
+ })
+
+ if(any(vec))
+ {
+ name_blocks_missing_values = c(name_blocks_missing_values, name_block_i)
+
+ }
+
+ } # End for(i in 1:length(list_X)).
+
+ if(length(name_blocks_missing_values) != 0)
+ {
+ stop(paste("The data integration can not be performed if a block contains missing values : ", paste(name_blocks_missing_values, collapse = ", "), " contains missing values. "))
+ boolean_block_missing_values = TRUE
+
+ }
+
+ return(boolean_block_missing_values)
+
+}
+
+
+#' @title Determination of selected variables for all components
+#' @description The function unionSelectBlockVariables determines, for each block, the selected block variables
+#' for all components.
+#' @param res_block_splsda type : sgccda. This parameter is the output of block.splsda function
+#' mixOmics.
+#' @details For each block, the function unionSelectBlockVariables returns 1 if the block variable is selected for
+#' at least one component. Otherwise, this function returns 0.
+#' @return type : list of matrix. For each block, if the block variable is selected, the value 1 is associated with
+#' this block variable. Otherwise the value 0 is associated with this block variable.
+#' @examples
+#' data(res_data_integration)
+#' list_union_selected_block_variables = unionSelectBlockVariables(res_data_integration)
+#' @export
+unionSelectBlockVariables <-function(res_block_splsda)
+{
+ ncomp = res_block_splsda$ncomp[1]
+
+ names_blocks = names(res_block_splsda$loadings)
+ index_Y = which(names_blocks == "Y")
+ names_blocks = names_blocks[ - index_Y]
+ list_select_block_variables = list()
+
+ for(i in 1:length(names_blocks))
+ {
+ mat_loadings_i = res_block_splsda$loadings[[i]]
+ index_i = c()
+
+ for(j in 1:ncomp)
+ {
+ loadings_i_j = mat_loadings_i[, j]
+ index_i_j = which(loadings_i_j != 0)
+
+ index_i = c(index_i, index_i_j)
+
+ } # End for(j 1:ncomp).
+
+ index_i = unique(index_i)
+
+ mat_select_block_variables = matrix(0,
+ nrow = dim(mat_loadings_i)[1],
+ ncol = 1)
+ mat_select_block_variables[index_i, 1] = rep(1, length(index_i))
+ rownames(mat_select_block_variables) = rownames(mat_loadings_i)
+
+ list_select_block_variables[[i]] = mat_select_block_variables
+
+ } # End for(i in 1:length(names_blocks)).
+
+ names(list_select_block_variables) = names_blocks
+
+ return(list_select_block_variables)
+}
diff -r 000000000000 -r d0b77b926863 circleCor.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/circleCor.xml Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,84 @@
+
+
+ plots a correlation circle for the datasets whose correlation circles can be superimposed. This correlation circle contains the selected variables of these datasets which are included in a rectangle and the response variables.
+
+
+ bioconductor-mixomics
+
+ r-argparse
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 circleCor_wrapper.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/circleCor_wrapper.R Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,131 @@
+#!/usr/bin/env Rscript
+
+# Setup R error handling to go to stderr
+options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )
+
+# we need that to not crash galaxy with an UTF8 error on German LC settings.
+loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
+
+## Get parameters ##
+suppressPackageStartupMessages(require(argparse))
+
+parser <- ArgumentParser(description='Run the circleCor function')
+
+parser$add_argument('--input_rdata', dest='input_rdata', required=TRUE, help="Input RData file")
+parser$add_argument('--blocks_vec', dest='blocks_vec', required=TRUE, help="Blocks vector")
+parser$add_argument('--responses_var', dest='responses_var', required=TRUE, help="Responses variables")
+parser$add_argument('--x_min', dest='x_min', type='double', required=TRUE, help="X min")
+parser$add_argument('--x_max', dest='x_max', type='double', required=TRUE, help="X max")
+parser$add_argument('--y_min', dest='y_min', type='double', required=TRUE, help="Y min")
+parser$add_argument('--y_max', dest='y_max', type='double', required=TRUE, help="Y max")
+parser$add_argument('--output_var', dest='output_var', required=TRUE, help="Output variables file")
+parser$add_argument('--output_pdf', dest='output_pdf', required=TRUE, help="Output PDF file")
+
+args <- parser$parse_args()
+
+## Print parameters
+print("Input RData:")
+print(args$input_rdata)
+print("Blocks vector:")
+print(args$blocks_vec)
+print("Response variables:")
+print(args$responses_var)
+print("X min:")
+print(args$x_min)
+print("X max:")
+print(args$x_max)
+print("Y min:")
+print(args$y_min)
+print("Y max:")
+print(args$y_max)
+print("Output variables file:")
+print(args$output_var)
+print("Output PDF file:")
+print(args$output_pdf)
+
+names_blocks = strsplit(args$blocks_vec, ",")[[1]]
+names_response_variables = strsplit(args$responses_var, ",")[[1]]
+
+print("names_blocks:")
+print(names_blocks)
+print("names_response_variables:")
+print(names_response_variables)
+
+## Loading libraries
+# suppressPackageStartupMessages(require(ellipse))
+# suppressPackageStartupMessages(require(grDevices))
+# suppressPackageStartupMessages(require(RColorBrewer))
+# suppressPackageStartupMessages(require(mixOmics))
+## Loading local functions
+# source_local("mixomics-blocksplsda-integration/integration_block_splsda_func.R")
+install.packages("https://gitlab.com/bilille/mixomics-blocksplsda-integration/-/raw/master/visCorVar_0.3.tar.gz", repos=NULL)
+suppressPackageStartupMessages(require(visCorVar))
+print("visCorVar has been loaded")
+
+# R script call
+source_local <- function(fname)
+{
+ argv <- commandArgs(trailingOnly = FALSE)
+ base_dir <- dirname(substring(argv[grep("--file=", argv)], 8))
+ source(paste(base_dir, fname, sep="/"))
+}
+
+# Loading input Rdata file
+# loads res_matCorAddVar object
+load(args$input_rdata)
+
+mat_cor_comp1 = res_matCorAddVar$mat_cor_comp1
+mat_cor_comp2 = res_matCorAddVar$mat_cor_comp2
+cutoff_comp = res_matCorAddVar$cutoff_comp
+comp = res_matCorAddVar$comp
+list_vec_index_block_select = res_matCorAddVar$list_vec_index_block_select
+list_vec_names_blocks = res_matCorAddVar$list_vec_names_blocks
+list_cor_comp_selected_var_resp_var = res_matCorAddVar$list_cor_comp_selected_var_resp_var
+res_compute_cor_var_interest = res_matCorAddVar$res_compute_cor_var_interest
+res_block_splsda = res_matCorAddVar$res_block_splsda
+
+#
+print("mat_cor_comp1:")
+print(mat_cor_comp1)
+print("mat_cor_comp2:")
+print(mat_cor_comp2)
+print("cutoff_comp:")
+print(cutoff_comp)
+print("comp:")
+print(comp)
+print("list_vec_index_block_select:")
+print(list_vec_index_block_select)
+print("list_vec_names_blocks:")
+print(list_vec_names_blocks)
+print("list_cor_comp_selected_var_resp_var:")
+print(list_cor_comp_selected_var_resp_var)
+print("res_compute_cor_var_interest:")
+print(res_compute_cor_var_interest)
+
+# Open output pdf file
+pdf(args$output_pdf, width=8, height=7)
+mar = c(5, 5, 2, 8)
+par(mar = mar)
+
+selected_variables = circleCor(list_dataframe_cor_comp_var_global = list_cor_comp_selected_var_resp_var,
+ list_vec_index_block_select = list_vec_index_block_select,
+ mat_cor_comp1 = mat_cor_comp1,
+ mat_cor_comp2 = mat_cor_comp2,
+ names_blocks = names_blocks,
+ names_response_variables = names_response_variables,
+ comp = comp,
+ cutoff = 0.85,
+ min.X = args$x_min,
+ max.X = args$x_max,
+ min.Y = args$y_min,
+ max.Y = args$y_max,
+ # vec_col = vec_col,
+ rad.in = 0.5,
+ cex = 0.7,
+ cex_legend = 0.8,
+ pos = c(1.2, 0),
+ pch = 20)
+
+dev.off()
+
+write(selected_variables, file=args$output_var, ncolumns=1)
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 computeMatSimilarity.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/computeMatSimilarity.xml Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,39 @@
+
+
+ performs the computation of the similarities. The similarity between two variables is an approximation of the correlation between these two variables.
+
+
+ bioconductor-mixomics
+ r-argparse
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 computeMatSimilarity_wrapper.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/computeMatSimilarity_wrapper.R Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,53 @@
+#!/usr/bin/env Rscript
+
+# Setup R error handling to go to stderr
+options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )
+
+# we need that to not crash galaxy with an UTF8 error on German LC settings.
+loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
+
+## Get parameters ##
+suppressPackageStartupMessages(require(argparse))
+
+parser <- ArgumentParser(description='Run the computeMatSimilarity function')
+
+parser$add_argument('--input_rdata', dest='input_rdata', required=TRUE, help="Input RData file")
+parser$add_argument('--output_rdata', dest='output_rdata', required=TRUE, help="Output RData file")
+
+args <- parser$parse_args()
+
+## Print parameters
+print("Input RData:")
+print(args$input_rdata)
+print("Output RData:")
+print(args$output_rdata)
+
+## Loading libraries
+# suppressPackageStartupMessages(require(mixOmics))
+
+# R script call
+source_local <- function(fname)
+{
+ argv <- commandArgs(trailingOnly = FALSE)
+ base_dir <- dirname(substring(argv[grep("--file=", argv)], 8))
+ source(paste(base_dir, fname, sep="/"))
+}
+
+## Loading local functions
+# source_local("mixomics-blocksplsda-integration/integration_block_splsda_func.R")
+install.packages("https://gitlab.com/bilille/mixomics-blocksplsda-integration/-/raw/master/visCorVar_0.3.tar.gz", repos=NULL)
+suppressPackageStartupMessages(require(visCorVar))
+print("visCorVar has been loaded")
+
+# Loading input Rdata file
+# loads res_matCorAddVar object
+load(args$input_rdata)
+
+# Run main function
+res_compute_mat_similarity = computeMatSimilarity(res_matCorAddVar = res_matCorAddVar)
+
+liste_mat_similarity_group = res_compute_mat_similarity$liste_mat_similarity_group
+res_matCorAddVar = res_compute_mat_similarity$res_matCorAddVar
+
+save(res_compute_mat_similarity,
+ file = args$output_rdata)
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 matCorAddVar.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/matCorAddVar.xml Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,60 @@
+
+
+ determine the correlation circles that can be overlaid and compute the correlations
+
+
+ bioconductor-mixomics
+ r-argparse
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 matCorAddVar_wrapper.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/matCorAddVar_wrapper.R Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,115 @@
+#!/usr/bin/env Rscript
+
+# Setup R error handling to go to stderr
+options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )
+
+# we need that to not crash galaxy with an UTF8 error on German LC settings.
+loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
+
+## Get parameters ##
+suppressPackageStartupMessages(require(argparse))
+
+parser <- ArgumentParser(description='Compute the matCorEtBlockSelect and addVariablesReponses functions')
+
+parser$add_argument('--input_rdata', dest='input_rdata', required=TRUE, help="Input RData file")
+parser$add_argument('--cutoff_comp', dest='cutoff_comp', type='double', required=TRUE, help="")
+parser$add_argument('--interest_var_file', dest='interest_var_file', required=FALSE, help="Variables of interest file")
+parser$add_argument('--block_Y_file', dest='block_Y_file', required=TRUE, help="Block Y filepath")
+parser$add_argument('--output_rdata', dest='output_rdata', required=TRUE, help="Output RData file")
+parser$add_argument('--output_response_var', dest='output_response_var', required=TRUE, help="Output response variables file")
+parser$add_argument('--output_blocks_comb', dest='output_blocks_comb', required=TRUE, help="Output blocks combinations file")
+
+args <- parser$parse_args()
+
+## Print parameters
+print("Input RData:")
+print(args$input_rdata)
+print("Cutoff comp:")
+print(args$cutoff_comp)
+print("Variables of interest:")
+print(args$interest_var_file)
+print("Block Y file:")
+print(args$block_Y_file)
+print("Output RData:")
+print(args$output_rdata)
+print("Output Response variables:")
+print(args$output_response_var)
+print("Output Blocks combinations:")
+print(args$output_blocks_comb)
+
+## Loading libraries
+# source_local("mixomics-blocksplsda-integration/integration_block_splsda_func.R")
+install.packages("https://gitlab.com/bilille/mixomics-blocksplsda-integration/-/raw/master/visCorVar_0.3.tar.gz", repos=NULL)
+suppressPackageStartupMessages(require(visCorVar))
+print("visCorVar has been loaded")
+
+# R script call
+source_local <- function(fname)
+{
+ argv <- commandArgs(trailingOnly = FALSE)
+ base_dir <- dirname(substring(argv[grep("--file=", argv)], 8))
+ source(paste(base_dir, fname, sep="/"))
+}
+
+# Loading input Rdata file
+load(args$input_rdata)
+
+ncomp = mixomics_result$ncomp
+
+# Reading Block Y matrix
+print("Reading Block Y")
+mat_block_Y = read.table(args$block_Y_file, header=TRUE, row.names=1)
+print(mat_block_Y)
+
+response_var = colnames(mat_block_Y)
+
+print("response_var:")
+print(response_var)
+
+# Write response variables to output file
+invisible(lapply(response_var, write, file=args$output_response_var, append=TRUE, ncolumns=1))
+
+# Reading var of intereset file
+interest_var_vec = NULL
+if (args$interest_var_file != 'None') {
+ interest_var_vec = as.character(read.table(args$interest_var_file, header=FALSE)[[1]])
+}
+
+#
+comp = 1:2
+
+# Running main function
+res_matCorAddVar = matCorAddVar(res_block_splsda = mixomics_result,
+ block_Y = mat_block_Y,
+ cutoff_comp = args$cutoff_comp,
+ var_interest = interest_var_vec,
+ comp = comp)
+
+#
+mat_cor_comp1 = res_matCorAddVar$mat_cor_comp1
+mat_cor_comp2 = res_matCorAddVar$mat_cor_comp2
+list_vec_index_block_select = res_matCorAddVar$list_vec_index_block_select
+list_vec_names_blocks = res_matCorAddVar$list_vec_names_blocks
+list_cor_comp_selected_var_resp_var = res_matCorAddVar$list_cor_comp_selected_var_resp_var
+res_compute_cor_var_interest = res_matCorAddVar$res_compute_cor_var_interest
+
+#
+print("mat_cor_comp1:")
+print(mat_cor_comp1)
+print("mat_cor_comp2:")
+print(mat_cor_comp2)
+print("list_vec_index_block_select:")
+print(list_vec_index_block_select)
+print("list_vec_names_blocks:")
+print(list_vec_names_blocks)
+print("list_cor_comp_selected_var_resp_var:")
+print(list_cor_comp_selected_var_resp_var)
+print("res_compute_cor_var_interest:")
+print(res_compute_cor_var_interest)
+
+# Write all possible blocks combinations to output file
+invisible(lapply(list_vec_names_blocks, write, file=args$output_blocks_comb, append=TRUE, ncolumns=100, sep=","))
+
+# Save all objects in Rdata output file
+save(res_matCorAddVar,
+ file = args$output_rdata)
diff -r 000000000000 -r d0b77b926863 mixomics_blocksplsda.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/mixomics_blocksplsda.xml Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,268 @@
+
+
+ performs N-integration and feature selection with Projection to Latent Structures models (PLS) with sparse Discriminant Analysis
+
+
+ bioconductor-mixomics
+ r-argparse
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ 10.1371/journal.pcbi.1005752
+
+
+
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 mixomics_blocksplsda_script.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/mixomics_blocksplsda_script.R Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,233 @@
+#!/usr/bin/env Rscript
+
+# Setup R error handling to go to stderr
+options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )
+
+# we need that to not crash galaxy with an UTF8 error on German LC settings.
+loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
+
+## Get parameters ##
+suppressPackageStartupMessages(require(argparse))
+
+parser <- ArgumentParser(description='Run the mixOmics block.splsda function')
+
+parser$add_argument('--block', dest='blocks_list', nargs=4, action="append", required=TRUE,
+ help="Block name + nb variables to select + data matrix file + variables metadata file")
+parser$add_argument('--sample_metadata_in', dest='sample_metadata_in', required=TRUE,
+ help="Samples metadata file")
+parser$add_argument('--sample_description_col', dest='sample_description_col', type='integer',
+ default=0, help="Sample description column number")
+parser$add_argument('--ncomp', dest='ncomp', type='integer', default=2,
+ help="Number of components to include in the model")
+parser$add_argument('--correlation', dest='correlation', action="store_true",
+ help="Add correlation between all blocks")
+parser$add_argument('--scheme', dest='scheme', default="horst", help="Scheme")
+parser$add_argument('--mode', dest='mode', default="regression", help="Mode")
+parser$add_argument('--maxiter', dest='maxiter', type='integer', default=100,
+ help="Maximum number of iterations")
+parser$add_argument('--scale', dest='scale', action="store_true",
+ help="Each block is standardized to zero means and unit variances")
+parser$add_argument('--check_missing_values', dest='check_missing_values', action="store_true",
+ help="Check for missing values and raise an error")
+parser$add_argument('--init', dest='init', default="svd",
+ help="Init (svd or svd.single)")
+parser$add_argument('--tol', dest='tol', type='double', default=1e-06,
+ help="Convergence stopping value")
+parser$add_argument('--nearzerovar', dest='nearzerovar', action="store_true",
+ help="Should be set in particular for data with many zero values")
+parser$add_argument('--rdata_out', dest='rdata_out', required=TRUE, help="Output Rdata file")
+parser$add_argument('--sample_metadata_out', dest='sample_metadata_out', required=TRUE, help="Output sample metadata file")
+parser$add_argument('--variable_metadata_outdir', dest='variable_metadata_outdir', required=TRUE, help="Output variable metadata directory")
+
+args <- parser$parse_args()
+
+## Print parameters
+print("Blocks:")
+print(args$blocks_list)
+print("Sample metadata file:")
+print(args$sample_metadata_in)
+print("Sample description column number:")
+print(args$sample_description_col)
+print("Number of components:")
+print(args$ncomp)
+print("Compute correlation between all blocks:")
+print(args$correlation)
+print("Scheme:")
+print(args$scheme)
+print("Mode:")
+print(args$mode)
+print("Max nb of iterations:")
+print(args$maxiter)
+print("Scale:")
+print(args$scale)
+print("Check for missing values:")
+print(args$check_missing_values)
+print("Tol:")
+print(args$tol)
+print("near.zero.var:")
+print(args$nearzerovar)
+print("Output Rdata file:")
+print(args$rdata_out)
+print("Output sample metadata file:")
+print(args$sample_metadata_out)
+print("Output variable metadata directory:")
+print(args$variable_metadata_outdir)
+
+## Loading libraries
+suppressPackageStartupMessages(require(mixOmics))
+
+## Read sample metadata file and set description factor matrix
+sample_metadata <- read.table(args$sample_metadata_in, sep='\t', header=TRUE, row.names=1)
+sample_metadata_names <- row.names(sample_metadata)
+# print(sample_metadata_names)
+
+# print("Sample metadata matrix:")
+# print(head(sample_metadata))
+
+description_column <- ncol(sample_metadata)
+if(args$sample_description_col > 0)
+{
+ description_column <- args$sample_description_col
+}
+
+Y <- factor(sample_metadata[[description_column]])
+
+print("Y factor matrix:")
+print(Y)
+
+## Read and prepare block datasets
+list_X <- c()
+keepX <- c()
+
+for(i in 1:nrow(args$blocks_list))
+{
+ # Read block input parameters
+ block_name <- args$blocks_list[i,1]
+ block_keep <- strtoi(args$blocks_list[i,2])
+ block_data_matrix_filename <- args$blocks_list[i,3]
+ # block_meta_var <- args$blocks_list[i,4]
+
+ print(sprintf("Processing block %s", block_name))
+
+ # Store block data matrices
+ block_data_matrix <- t(read.table(block_data_matrix_filename, sep='\t', header=TRUE, row.names=1)) # transpose the matrix so that the samples become rows and the variables become columns
+ block_data_matrix_names <- row.names(block_data_matrix)
+ # print(block_data_matrix_names)
+
+ if(!identical(sample_metadata_names, block_data_matrix_names))
+ {
+ stop("Sample names must be the same and in the same order in the sample metadata matrix and the block data matrix")
+ }
+
+ list_X[[block_name]] <- block_data_matrix
+
+ # Set the nb of variables to keep
+ nb_variables = ncol(list_X[[block_name]])
+ if(block_keep > 0)
+ {
+ keepX[[block_name]] <- rep(block_keep, args$ncomp)
+ }
+ else
+ {
+ keepX[[block_name]] <- rep(nb_variables, args$ncomp)
+ }
+ print(sprintf("Block %s contains %d variables and %d will be selected", block_name, nb_variables, block_keep))
+}
+
+# print(list_X)
+
+## Generate design matrix
+block_nb <- nrow(args$blocks_list)
+
+design <- matrix(0, nrow = block_nb, ncol = block_nb)
+
+if(args$correlation)
+{
+ design <- matrix(1, nrow = block_nb, ncol = block_nb)
+ diag(design) <- 0
+}
+
+# print("Design matrix:")
+# print(design)
+
+###################
+## Main function ##
+###################
+
+mixomics_result <- block.splsda(X = list_X,
+ Y = Y,
+ ncomp = args$ncomp,
+ keepX = keepX,
+ design = design,
+ scheme = args$scheme,
+ mode = args$mode,
+ scale = args$scale,
+ init = args$init,
+ tol = args$tol,
+ max.iter = args$maxiter,
+ near.zero.var = args$nearzerovar,
+ all.outputs = TRUE)
+
+print("Block.splsda object:")
+print(mixomics_result)
+print(attributes(mixomics_result))
+
+## Save output Rdata file
+save(mixomics_result, file=args$rdata_out)
+
+## Save output sample metadata file
+# print("Block.splsda variates:")
+# print(mixomics_result$variates)
+
+for(block_name in names(mixomics_result$variates))
+{
+ # print(block_name)
+ # print(mixomics_result$variates[[block_name]])
+
+ # Format the column names to add the block name and replace spaces
+ colnames(mixomics_result$variates[[block_name]]) <- paste("block.splsda_variates", block_name, gsub(" ", "_", colnames(mixomics_result$variates[[block_name]])), sep = "_")
+ # print(mixomics_result$variates[[block_name]])
+
+ # Append the new columns to the sample metadata matrix
+ sample_metadata <- cbind2(sample_metadata, mixomics_result$variates[[block_name]])
+}
+
+# print(sample_metadata)
+
+write.table(sample_metadata, file = args$sample_metadata_out, quote = TRUE, sep = "\t", row.names = TRUE, col.names = NA)
+
+## Save output variable metadata files in output directory
+# print("Block.splsda loadings:")
+# print(mixomics_result$loadings)
+
+for(i in 1:nrow(args$blocks_list))
+{
+ # Read again block input parameters
+ block_name <- args$blocks_list[i,1]
+ # block_keep <- strtoi(args$blocks_list[i,2])
+ # block_data_matrix_filename <- args$blocks_list[i,3]
+ block_meta_var <- args$blocks_list[i,4]
+
+ print(sprintf("Saving block %s output metavar", block_name))
+
+ meta_variable <- mixomics_result$loadings[[block_name]]
+ # print(head(meta_variable))
+
+ # Format the column names to add the block name and replace spaces
+ colnames(meta_variable) <- paste("block.splsda_loadings", gsub(" ", "_", colnames(meta_variable)), sep = "_")
+
+ # Read input block variable metadata files if provided (optional)
+ if(block_meta_var != "None")
+ {
+ input_meta_variable <- read.table(block_meta_var, sep='\t', header=TRUE, row.names=1)
+ # print(head(input_meta_variable))
+
+ # Append the new columns to the variable metadata matrix
+ meta_variable <- cbind2(input_meta_variable, meta_variable)
+ }
+
+ # print(head(meta_variable))
+
+ block_meta_var_output_filename <- paste("mixomics_blocksplsda_block_", block_name, "_variable_metadata.tsv", sep="")
+ write.table(meta_variable, file = paste(args$variable_metadata_outdir,block_meta_var_output_filename, sep='/'), quote = TRUE, sep = "\t", row.names = TRUE, col.names = NA)
+}
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 mixomics_plotindiv.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/mixomics_plotindiv.xml Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,111 @@
+
+
+ provides scatter plots for individuals (experimental units) representation in (sparse)(I)PCA,(regularized)CCA, (sparse)PLS(DA) and (sparse)(R)GCCA(DA)
+
+
+ bioconductor-mixomics
+ r-argparse
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ 10.1371/journal.pcbi.1005752
+
+
+
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 mixomics_plotindiv_script.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/mixomics_plotindiv_script.R Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,53 @@
+#!/usr/bin/env Rscript
+
+# Setup R error handling to go to stderr
+options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )
+
+# we need that to not crash galaxy with an UTF8 error on German LC settings.
+loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
+
+## Get parameters ##
+suppressPackageStartupMessages(require(argparse))
+
+parser <- ArgumentParser(description='Run the mixOmics plotIndiv function')
+
+parser$add_argument('--input_rdata', dest='input_rdata', required=TRUE, help="Input RData file")
+parser$add_argument('--legend', dest='legend', action="store_true", help="Display the legend")
+parser$add_argument('--ellipse', dest='ellipse', action="store_true", help="Plot ellipse plots")
+parser$add_argument('--output_pdf', dest='output_pdf', required=TRUE, help="Output PDF file")
+
+args <- parser$parse_args()
+
+## Print parameters
+print("Input RData:")
+print(args$input_rdata)
+print("Plot legend:")
+print(args$legend)
+print("Plot ellipse plots:")
+print(args$ellipse)
+print("Output PDF file:")
+print(args$output_pdf)
+
+# loading libraries
+suppressPackageStartupMessages(require(mixOmics))
+
+load(args$input_rdata)
+
+pdf(args$output_pdf)
+
+# plotIndiv(mixomics_result,
+# legend = args$legend,
+# ellipse = args$ellipse)
+
+for(k in 1:(length(mixomics_result$names[[3]])-1))
+{
+ name_block = mixomics_result$names[[3]][k]
+
+ try(plotIndiv(mixomics_result,
+ blocks = k,
+ legend = args$legend,
+ ellipse = args$ellipse),
+ silent = FALSE)
+}
+
+dev.off()
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 mixomics_plotvar.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/mixomics_plotvar.xml Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,112 @@
+
+
+ provides variables representation for (regularized) CCA, (sparse) PLS regression, PCA and (sparse) Regularized generalised CCA
+
+
+ bioconductor-mixomics
+ r-argparse
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ 10.1371/journal.pcbi.1005752
+
+
+
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 mixomics_plotvar_script.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/mixomics_plotvar_script.R Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,56 @@
+#!/usr/bin/env Rscript
+
+# Setup R error handling to go to stderr
+options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )
+
+# we need that to not crash galaxy with an UTF8 error on German LC settings.
+loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
+
+## Main Function ##
+
+suppressPackageStartupMessages(require(argparse))
+
+parser <- ArgumentParser(description='Run the mixOmics plotVar function')
+
+parser$add_argument('--input_rdata', dest='input_rdata', required=TRUE, help="Input RData file")
+parser$add_argument('--legend', dest='legend', action="store_true", help="Display the legend")
+parser$add_argument('--cutoff', dest='cutoff', type='double', required=TRUE, help="Cutoff (0..1)")
+parser$add_argument('--output_pdf', dest='output_pdf', required=TRUE, help="Output PDF file")
+
+args <- parser$parse_args()
+
+##
+print("Input RData:")
+print(args$input_rdata)
+print("Plot legend:")
+print(args$legend)
+print("Cutoff:")
+print(args$cutoff)
+print("Output PDF file:")
+print(args$output_pdf)
+
+# loading libraries
+suppressPackageStartupMessages(require(mixOmics))
+
+load(args$input_rdata)
+
+pdf(args$output_pdf)
+
+# plotVar(mixomics_result,
+# legend = args$legend,
+# cutoff = args$cutoff)
+
+for(k in 1:(length(mixomics_result$names[[3]])-1))
+{
+ name_block = mixomics_result$names[[3]][k]
+
+ # We're still continuing even if a graph is empty
+ try(plotVar(mixomics_result,
+ blocks = k,
+ legend = args$legend,
+ cutoff = args$cutoff),
+ silent = FALSE)
+
+}
+
+dev.off()
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 networkVar.xml
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/networkVar.xml Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,64 @@
+
+
+ creates a network between selected variables of datasets and the response variables. In the network, the similarity between two variables is associated with the link between these two variables.
+
+
+ bioconductor-mixomics
+ r-igraph
+ r-argparse
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 networkVar_wrapper.R
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/networkVar_wrapper.R Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,81 @@
+#!/usr/bin/env Rscript
+
+# Setup R error handling to go to stderr
+options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )
+
+# we need that to not crash galaxy with an UTF8 error on German LC settings.
+loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")
+
+## Get parameters ##
+suppressPackageStartupMessages(require(argparse))
+
+parser <- ArgumentParser(description='Run the networkVar function')
+
+parser$add_argument('--mat_similarity_rdata', dest='mat_similarity_rdata', required=TRUE, help="matSimilarity RData file")
+parser$add_argument('--var_list_file', dest='var_list_file', required=TRUE, help="Variables list file")
+# parser$add_argument('--interest_var_file', dest='interest_var_file', required=FALSE, help="Variables of interest file")
+parser$add_argument('--response_var', dest='response_var', required=TRUE, help="Response variables")
+parser$add_argument('--output_graph', dest='output_graph', required=TRUE, help="Output graphml")
+
+args <- parser$parse_args()
+
+## Print parameters
+print("matSimilarity RData file:")
+print(args$mat_similarity_rdata)
+print("Variables list file:")
+print(args$var_list_file)
+# print("Variables of interest:")
+# print(args$interest_var_file)
+print("Response variables:")
+print(args$response_var)
+print("Output graphml:")
+print(args$output_graph)
+
+## Loading libraries
+# suppressPackageStartupMessages(require(mixOmics))
+suppressPackageStartupMessages(require(igraph))
+
+# R script call
+source_local <- function(fname)
+{
+ argv <- commandArgs(trailingOnly = FALSE)
+ base_dir <- dirname(substring(argv[grep("--file=", argv)], 8))
+ source(paste(base_dir, fname, sep="/"))
+}
+
+## Loading local functions
+# source_local("mixomics-blocksplsda-integration/integration_block_splsda_func.R")
+install.packages("https://gitlab.com/bilille/mixomics-blocksplsda-integration/-/raw/master/visCorVar_0.3.tar.gz", repos=NULL)
+suppressPackageStartupMessages(require(visCorVar))
+print("visCorVar has been loaded")
+
+# Loading input Rdata file
+# loads res_compute_mat_similarity object
+load(args$mat_similarity_rdata)
+
+#
+names_block_variables = as.character(read.table(args$var_list_file, header=FALSE)[[1]])
+names_response_variables = strsplit(args$response_var, ",")[[1]]
+
+# interest_var_vec = NULL
+# if (args$interest_var_file != 'None') {
+# interest_var_vec = as.character(read.table(args$interest_var_file, header=FALSE)[[1]])
+# }
+
+print("names_block_variables:")
+print(names_block_variables)
+# print("interest_var_vec:")
+# print(interest_var_vec)
+print("names_response_variables:")
+print(names_response_variables)
+
+res_networkVar = networkVar(res_compute_mat_similarity = res_compute_mat_similarity,
+ names_block_variables = names_block_variables,
+ names_response_variables = names_response_variables,
+ cutoff = 0)
+
+print("networkVar() completed")
+print("res_networkVar:")
+print(res_networkVar)
+
+write.graph(res_networkVar$gR, file = args$output_graph, format = "graphml")
\ No newline at end of file
diff -r 000000000000 -r d0b77b926863 test-data/in_block1_data.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/in_block1_data.tabular Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,7 @@
+ "A1" "A2" "B1" "B2"
+"var1" 1 2 3 4
+"var2" 1.5 2.5 3.5 4.5
+"var3" 2.5 2 2.5 2
+"var4" 5 4 3 2
+"var5" 1.001 1.01 1.1 1
+"var6" 10 13 11 10
diff -r 000000000000 -r d0b77b926863 test-data/in_block2_data.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/in_block2_data.tabular Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,7 @@
+ "A1" "A2" "B1" "B2"
+"var1" 2 3 4 5
+"var2" 2.5 1 2.5 4
+"var3" 2.5 2 2.5 2
+"var4" 6 5 3 2
+"var5" 10.001 10.01 10.1 10
+"var6" 20 23 21 20
diff -r 000000000000 -r d0b77b926863 test-data/in_sample_meta.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/in_sample_meta.tabular Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,5 @@
+ "Y"
+"A1" "catA"
+"A2" "catA"
+"B1" "catB"
+"B2" "catB"
diff -r 000000000000 -r d0b77b926863 test-data/out_plotIndiv.pdf
Binary file test-data/out_plotIndiv.pdf has changed
diff -r 000000000000 -r d0b77b926863 test-data/out_plotVar.pdf
Binary file test-data/out_plotVar.pdf has changed
diff -r 000000000000 -r d0b77b926863 test-data/out_rdata.rdata
Binary file test-data/out_rdata.rdata has changed
diff -r 000000000000 -r d0b77b926863 test-data/out_sample_meta.tabular
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/out_sample_meta.tabular Tue Jun 23 19:57:35 2020 -0400
@@ -0,0 +1,5 @@
+"" "Y" "block.splsda_Block1_comp1" "block.splsda_Block1_comp2" "block.splsda_Block2_comp1" "block.splsda_Block2_comp2" "block.splsda_Y_comp1" "block.splsda_Y_comp2"
+"A1" "catA" 1.85013467343542 0.422684485040581 1.28016568038406 0.405956759170116 1.22474487139159 0.0342790721507239
+"A2" "catA" 1.07324868851916 -0.960001503242697 1.53872954309497 -0.749531756995324 1.22474487139159 -0.16259622770647
+"B1" "catB" -1.0856729590951 1.64317643604658 -1.01949098398762 1.60513370686125 -1.22474487139159 0.374128476201717
+"B2" "catB" -1.83771040285949 -1.10585941784446 -1.79940423949142 -1.26155870903602 -1.22474487139159 -0.245811320645977