Package: consICA Type: Package biocViews: Technology, StatisticalMethod, Sequencing, RNASeq, Transcriptomics, Classification, FeatureExtraction Title: consensus Independent Component Analysis Version: 2.11.5 Authors@R: c(person(given = "Petr V.", family = "Nazarov", role = c("aut", "cre"), email = "petr.nazarov@lih.lu", comment = c(ORCID = "0000-0003-3443-0298")), person(given = "Tony", family = "Kaoma", role="aut", email="tony.kaoma@lih.lu", comment = c(ORCID = "0000-0002-1269-4826")), person(given = "Maryna", family = "Chepeleva", role = c("aut"), email = "maryna.chepeleva@gmail.com", comment = c(ORCID = "0000-0003-3036-4916")) ) Description: 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. BugReports: https://github.com/biomod-lih/consICA/issues URL: https://github.com/biomod-lih/consICA License: MIT + file LICENSE Encoding: UTF-8 LazyData: false Imports: fastICA (>= 1.2.1), sm, org.Hs.eg.db, GO.db, stats, SummarizedExperiment, BiocParallel, graph, ggplot2, methods, Rfast, pheatmap, survival, topGO, graphics, grDevices Depends: R (>= 4.2.0) Suggests: knitr, BiocStyle, rmarkdown, testthat, Seurat VignetteBuilder: knitr RoxygenNote: 7.3.3 Config/pak/sysreqs: cmake libpng-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-09-18 14:44:11 UTC RemoteUrl: https://github.com/bioc/consICA RemoteRef: HEAD RemoteSha: 6b4456dce6f8ac42be5648ba85063afe46052b0c NeedsCompilation: no Packaged: 2026-09-18 19:56:55 UTC; root Author: Petr V. Nazarov [aut, cre] (ORCID: ), Tony Kaoma [aut] (ORCID: ), Maryna Chepeleva [aut] (ORCID: ) Maintainer: Petr V. Nazarov