MineICA: Analysis of an ICA decomposition obtained on genomics data
Version 1.16.0

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.

Package details

AuthorAnne Biton
Bioconductor views MultipleComparison Visualization
MaintainerAnne Biton <anne.biton@gmail.com>
LicenseGPL-2
Version1.16.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("MineICA")

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MineICA documentation built on May 31, 2017, 2:50 p.m.