This is the released version of SCFA; for the devel version, see SCFA.
SCFA: Subtyping via Consensus Factor AnalysisBioconductor version: Release (3.21)
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.
Author: Duc Tran [aut, cre], Hung Nguyen [aut], Tin Nguyen [fnd]
Maintainer: Duc Tran <duct at nevada.unr.edu>
Citation (from within R, entercitation("SCFA")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SCFA")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SCFA")Follow Installation instructions to use this package in your R session.
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