# 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 @@ + GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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+
+``` + +# 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