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MineICA

Analysis of an ICA decomposition obtained on genomics data

Bioconductor version: 3.23 · Package version: 1.50.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MineICA")

Details

MaintainerAnne Biton <anne.biton@gmail.com>
AuthorAnne Biton
LicenseGPL-2
Downloads rank459
Source branchRELEASE_3_23
biocViewsMultipleComparison, Software, Visualization

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Dependencies

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