DOI: 10.18129/B9.bioc.MineICA  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see MineICA.

Analysis of an ICA decomposition obtained on genomics data

Bioconductor version: 3.17

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.

Author: Anne Biton

Maintainer: Anne Biton <anne.biton at gmail.com>

Citation (from within R, enter citation("MineICA")):


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PDF R Script MineICA: Independent component analysis of genomic data
PDF   Reference Manual


biocViews MultipleComparison, Software, Visualization
Version 1.40.0
In Bioconductor since BioC 2.12 (R-3.0) (10.5 years)
License GPL-2
Depends R (>= 2.10), methods, BiocGenerics(>= 0.13.8), Biobase, plyr, ggplot2, scales, foreach, xtable, biomaRt, gtools, GOstats, cluster, marray, mclust, RColorBrewer, colorspace, igraph, Rgraphviz, graph, annotate, Hmisc, fastICA, JADE
Imports AnnotationDbi, lumi, fpc, lumiHumanAll.db
Suggests biomaRt, GOstats, cluster, hgu133a.db, mclust, igraph, breastCancerMAINZ, breastCancerTRANSBIG, breastCancerUPP, breastCancerVDX, future, future.apply
Enhances doMC
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package MineICA_1.40.0.tar.gz
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