r if(activePathways_section & length(g$gene_data_index)>1){"### ActivePathways Integrative Enrichment"}
g = g.activepath(g)
r if(activePathways_section & length(g$gene_data_index)>1){paste("For ActivePathways results, see ", g$gsea_working_dir ," directory. ", sep="")}
# Get potential id's and save a new annotation file. g = g.mumm2omicsList(g) # Save excel file summary for collaborators if(saveXlsx==TRUE){ wbOut <- openxlsx::createWorkbook() for(i in 1:length(g$metab_data_index)){ try({ writeDataToSheets(wb=wbOut, eset=g$omicsList[[ g$mz_data_index[i] ]][["eSet"]], limmaFit=g$omicsList[[ g$mz_data_index[i] ]][["fit"]], type=g$omicsList[[ g$mz_data_index[i] ]][["dataType"]], data_format=g$omicsList[[ g$mz_data_index[i] ]][["dataFormat"]]); }) } output_filename=file.path(g$output_path, paste(gsub("\\.","",make.names(project_name)), "_Summary_AllMetIDs", ".xlsx", sep="")) openxlsx::saveWorkbook(wbOut, file=output_filename, overwrite=TRUE) }
### Make combined ranked list with metabolites g = g.combine.rnk(g)
r if( ( show_metab_enrich & length(g$metab_data_index)>0 & length(g$gene_data_index)>0) ){"### GSEA for Integrative Proteomics and Metabolomics"}
if( run_gsea & species!="Other" ) { try({ g = g.momenta(g) }) }
r if( ( show_metab_enrich & length(g$metab_data_index)>0 & length(g$gene_data_index)>0) ){paste("For complete prot/met integrative GSEA results, see ", g$gsea_working_dir ," directory. ", sep="")}
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