## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----load_data---------------------------------------------------------------- library(multiDEGGs) data("synthetic_metadata") data("synthetic_rnaseqData") data("synthetic_proteomicData") data("synthetic_OlinkData") ## ----------------------------------------------------------------------------- assayData_list <- list("RNAseq" = synthetic_rnaseqData, "Proteomics" = synthetic_proteomicData, "Olink" = synthetic_OlinkData) deggs_object <- get_diffNetworks(assayData = assayData_list, metadata = synthetic_metadata, category_variable = "response", regression_method = "lm", padj_method = "bonferroni", verbose = FALSE, show_progressBar = FALSE, cores = 2) ## ----eval=FALSE--------------------------------------------------------------- # View_diffNetworks(deggs_object) ## ----warning=FALSE------------------------------------------------------------ get_multiOmics_diffNetworks(deggs_object, sig_threshold = 0.05) ## ----------------------------------------------------------------------------- deggs_object_oneOmic <- get_diffNetworks(assayData = synthetic_rnaseqData, metadata = synthetic_metadata, category_variable = "response", regression_method = "lm", padj_method = "bonferroni", verbose = FALSE, show_progressBar = FALSE, cores = 2) get_sig_deggs(deggs_object_oneOmic, sig_threshold = 0.05) ## ----fig.width = 4.5, fig.height = 4, eval=FALSE------------------------------ # plot_regressions(deggs_object, # assayDataName = "RNAseq", # gene_A = "MTOR", # gene_B = "AKT2", # legend_position = "bottomright") ## ----------------------------------------------------------------------------- citation("multiDEGGs")