iSubGen: Integrative Subtype Generation

Multi-data type subtyping, which is data type agnostic and accepts missing data. Subtyping is performed using intermediary assessments created with autoencoders and similarity calculations. See Fox et al. (2024) <doi:10.1016/j.crmeth.2024.100884> for details.

Version: 1.0.4
Depends: R (≥ 3.2.3)
Imports: ConsensusClusterPlus, cluster (≥ 1.14.4), keras, tensorflow, philentropy
Suggests: knitr, rmarkdown
Published: 2026-01-24
DOI: 10.32614/CRAN.package.iSubGen
Author: Mao Tian [cre], Paul Boutros [aut], Natalie Fox [aut], Dan Knight [ctb]
Maintainer: Mao Tian <mtian at sbpdiscovery.org>
BugReports: https://github.com/uclahs-cds/package-iSubGen/issues
License: GPL-2
URL: https://github.com/uclahs-cds/package-iSubGen
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: iSubGen results

Documentation:

Reference manual: iSubGen.html , iSubGen.pdf
Vignettes: Guide for using ISOpureR (source)

Downloads:

Package source: iSubGen_1.0.4.tar.gz
Windows binaries: r-devel: iSubGen_1.0.1.zip, r-release: iSubGen_1.0.1.zip, r-oldrel: iSubGen_1.0.1.zip
macOS binaries: r-release (arm64): iSubGen_1.0.1.tgz, r-oldrel (arm64): iSubGen_1.0.1.tgz, r-release (x86_64): iSubGen_1.0.1.tgz, r-oldrel (x86_64): iSubGen_1.0.1.tgz
Old sources: iSubGen archive

Linking:

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