DOI: 10.18129/B9.bioc.pareg  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see pareg.

Pathway enrichment using a regularized regression approach

Bioconductor version: 3.17

Compute pathway enrichment scores while accounting for term-term relations. This package uses a regularized multiple linear regression to regress differential expression p-values obtained from multi-condition experiments on a pathway membership matrix. By doing so, it is able to incorporate additional biological knowledge into the enrichment analysis and to estimate pathway enrichment scores more robustly.

Author: Kim Philipp Jablonski [aut, cre]

Maintainer: Kim Philipp Jablonski <kim.philipp.jablonski at>

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biocViews DifferentialExpression, GeneExpression, GraphAndNetwork, Network, NetworkEnrichment, Regression, Software, StatisticalMethod
Version 1.4.1
In Bioconductor since BioC 3.15 (R-4.2) (1.5 years)
License GPL-3
Depends R (>= 4.2), tensorflow (>= 2.2.0), tfprobability (>= 0.10.0)
Imports stats, tidyr, purrr, future, doFuture, foreach, doRNG, tibble, glue, tidygraph, igraph, proxy, dplyr, magrittr, ggplot2, ggraph, rlang, progress, Matrix, keras, nloptr, ggrepel, methods, DOSE, stringr, reticulate, logger, hms, devtools, basilisk
Suggests knitr, rmarkdown, testthat (>= 2.1.0), BiocStyle, formatR, plotROC, PRROC, mgsa, topGO, msigdbr, betareg, fgsea, ComplexHeatmap, GGally, ggsignif, circlize, enrichplot, ggnewscale, tidyverse, cowplot, ggfittext, simplifyEnrichment, GSEABenchmarkeR, BiocParallel, ggupset, latex2exp,, GO.db
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