pareg
Pathway enrichment using a regularized regression approach
Bioconductor version: Release (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 gmail.com>
citation("pareg")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("pareg")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pareg")
Get started | HTML | R Script |
Pathway similarities | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
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 |
Linking To | |
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, org.Hs.eg.db, GO.db |
System Requirements | |
Enhances | |
URL | https://github.com/cbg-ethz/pareg |
Bug Reports | https://github.com/cbg-ethz/pareg/issues |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | pareg_1.4.1.tar.gz |
Windows Binary | pareg_1.4.1.zip |
macOS Binary (x86_64) | pareg_1.4.1.tgz |
macOS Binary (arm64) | pareg_1.4.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/pareg |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pareg |
Bioc Package Browser | https://code.bioconductor.org/browse/pareg/ |
Package Short Url | https://bioconductor.org/packages/pareg/ |
Package Downloads Report | Download Stats |