Bioconductor-mirror/MineICA: Analysis of an ICA decomposition obtained on genomics data

The goal of MineICA is to perform Independent Component Analysis (ICA) on multiple transcriptome datasets, integrating additional data (e.g molecular, clinical and pathological). This Integrative ICA helps the biological interpretation of the components by studying their association with variables (e.g sample annotations) and gene sets, and enables the comparison of components from different datasets using correlation-based graph.

Getting started

Package details

AuthorAnne Biton
Bioconductor views MultipleComparison Visualization
MaintainerAnne Biton <[email protected]>
LicenseGPL-2
Version1.17.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/MineICA")
Bioconductor-mirror/MineICA documentation built on May 29, 2017, 8:30 a.m.