Package: consICA Type: Package biocViews: Technology, StatisticalMethod, Sequencing, RNASeq, Transcriptomics, Classification, FeatureExtraction Title: consensus Independent Component Analysis Version: 2.11.0 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 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: 7.3.2 Config/pak/sysreqs: make libpng-dev libssl-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:58:59 UTC RemoteUrl: https://github.com/bioc/consICA RemoteRef: HEAD RemoteSha: 6e95b58cc99f6963ccccb601d6db6254502cb5b4 NeedsCompilation: no Packaged: 2026-07-04 03:56:16 UTC; root Author: Petr V. Nazarov [aut, cre] (ORCID: ), Tony Kaoma [aut] (ORCID: ), Maryna Chepeleva [aut] (ORCID: ) Maintainer: Petr V. Nazarov