consICA

DOI: 10.18129/B9.bioc.consICA    

consensus Independent Component Analysis

Bioconductor version: Release (3.16)

consICA implements a data-driven deconvolution method – consensus independent component analysis (ICA) to decompose heterogeneous omics data and extract features suitable for patient diagnostics and prognostics. The method separates biologically relevant transcriptional signals from technical effects and provides information about the cellular composition and biological processes. The implementation of parallel computing in the package ensures efficient analysis of modern multicore systems.

Author: Petr V. Nazarov [aut, cre] , Tony Kaoma [aut] , Maryna Chepeleva [aut]

Maintainer: Petr V. Nazarov <petr.nazarov at lih.lu>

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

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("consICA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("consICA")

 

HTML R Script The consICA package: User’s manual
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Classification, FeatureExtraction, RNASeq, Sequencing, Software, StatisticalMethod, Technology, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.16 (R-4.2) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.2.0)
Imports fastICA (>= 1.2.1), sm, org.Hs.eg.db, GO.db, stats, SummarizedExperiment, BiocParallel, graph, methods, pheatmap, survival, topGO, graphics, grDevices
LinkingTo
Suggests knitr, BiocStyle, rmarkdown, testthat
SystemRequirements
Enhances
URL
BugReports https://github.com/biomod-lih/consICA/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package consICA_1.0.0.tar.gz
Windows Binary consICA_1.0.0.zip
macOS Binary (x86_64) consICA_1.0.0.tgz
macOS Binary (arm64) consICA_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/consICA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/consICA
Package Short Url https://bioconductor.org/packages/consICA/
Package Downloads Report Download Stats

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