Mergeomics: Integrative network analysis of omics data

The Mergeomics pipeline serves as a flexible framework for integrating multidimensional omics-disease associations, functional genomics, canonical pathways and gene-gene interaction networks to generate mechanistic hypotheses. It includes two main parts, 1) Marker set enrichment analysis (MSEA); 2) Weighted Key Driver Analysis (wKDA).

Package details

AuthorVille-Petteri Makinen, Le Shu, Yuqi Zhao, Zeyneb Kurt, Bin Zhang, Xia Yang
Bioconductor views Software
MaintainerZeyneb Kurt <>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the Mergeomics package in your browser

Any scripts or data that you put into this service are public.

Mergeomics documentation built on Nov. 8, 2020, 6:58 p.m.