This is the development version of DEsubs; for the stable release version, see DEsubs.
DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq expression experimentsBioconductor version: Development (3.22)
DEsubs is a network-based systems biology package that extracts disease-perturbed subpathways within a pathway network as recorded by RNA-seq experiments. It contains an extensive and customizable framework covering a broad range of operation modes at all stages of the subpathway analysis, enabling a case-specific approach. The operation modes refer to the pathway network construction and processing, the subpathway extraction, visualization and enrichment analysis with regard to various biological and pharmacological features. Its capabilities render it a tool-guide for both the modeler and experimentalist for the identification of more robust systems-level biomarkers for complex diseases.
Author: Aristidis G. Vrahatis and Panos Balomenos
Maintainer: Aristidis G. Vrahatis <agvrahatis at upatras.gr>, Panos Balomenos <balomenos at upatras.gr>
Citation (from within R, entercitation("DEsubs")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("DEsubs")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DEsubs")
Details biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, ImmunoOncology, KEGG, Network, NetworkEnrichment, Normalization, Pathways, RNASeq, Software, SystemsBiology Version 1.35.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 years) License GPL-3 Depends R (>= 3.3), locfit Imports graph, igraph, RBGL, circlize, limma, edgeR, EBSeq, NBPSeq, stats, grDevices, graphics, pheatmap, utils, ggplot2, Matrix, jsonlite, tools, DESeq2, methods System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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