cbg-ethz/pareg: Pathway enrichment using a regularized regression approach
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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | DifferentialExpression GeneExpression GraphAndNetwork Network NetworkEnrichment Regression Software StatisticalMethod |
| Maintainer | |
| License | GPL-3 |
| Version | 1.5.1 |
| URL | https://github.com/cbg-ethz/pareg |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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