Package: SCFA
Type: Package
Title: SCFA: Subtyping via Consensus Factor Analysis
Version: 1.22.0
Authors@R: c(
    person("Duc", "Tran", , "duct@nevada.unr.edu", role = c("aut", "cre")),
    person("Hung", "Nguyen", role = c("aut")),
    person("Tin", "Nguyen", role = c("fnd"))
    )
Description: Subtyping via Consensus Factor Analysis (SCFA) can
        efficiently remove noisy signals from consistent molecular
        patterns in multi-omics data. SCFA first uses an autoencoder to
        select only important features and then repeatedly performs
        factor analysis to represent the data with different numbers of
        factors. Using these representations, it can reliably identify
        cancer subtypes and accurately predict risk scores of patients.
License: LGPL
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: matrixStats, BiocParallel, torch (>= 0.3.0), coro, igraph,
        Matrix, cluster, psych, glmnet, RhpcBLASctl, stats, utils,
        methods, survival
RoxygenNote: 7.1.1
biocViews: Survival, Clustering, Classification
Suggests: knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
URL: https://github.com/duct317/SCFA
BugReports: https://github.com/duct317/SCFA/issues
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:54:11 UTC
RemoteUrl: https://github.com/bioc/SCFA
RemoteRef: RELEASE_3_23
RemoteSha: b0c16c711b83f7d7d8d810d23c09178071694a18
NeedsCompilation: no
Packaged: 2026-07-04 22:20:42 UTC; root
Author: Duc Tran [aut, cre],
  Hung Nguyen [aut],
  Tin Nguyen [fnd]
Maintainer: Duc Tran <duct@nevada.unr.edu>