Package: GSgalgoR
Type: Package
Title: An Evolutionary Framework for the Identification and Study of
        Prognostic Gene Expression Signatures in Cancer
Version: 1.22.0
Authors@R: c(person("Martin", "Guerrero", role = c("aut"),
                     email = "mguerrero@conicet-mendoza.gob.ar"),
              person("Carlos", "Catania", role = "cre",email="harpomaxx@gmail.com"))
Description: A multi-objective optimization algorithm for disease
        sub-type discovery based on a non-dominated sorting genetic
        algorithm. The 'Galgo' framework combines the advantages of
        clustering algorithms for grouping heterogeneous 'omics' data
        and the searching properties of genetic algorithms for feature
        selection. The algorithm search for the optimal number of
        clusters determination considering the features that maximize
        the survival difference between sub-types while keeping cluster
        consistency high.
License: MIT + file LICENSE
biocViews: GeneExpression, Transcription, Clustering, Classification,
        Survival
Encoding: UTF-8
Imports: cluster, doParallel, foreach, matchingR, nsga2R, survival,
        proxy, stats, methods,
Suggests: knitr, rmarkdown, ggplot2, BiocStyle, genefu, survcomp,
        Biobase, survminer, breastCancerTRANSBIG, breastCancerUPP,
        iC10TrainingData, pamr, testthat
URL: https://github.com/harpomaxx/GSgalgoR
BugReports: https://github.com/harpomaxx/GSgalgoR/issues
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:54:27 UTC
RemoteUrl: https://github.com/bioc/GSgalgoR
RemoteRef: RELEASE_3_23
RemoteSha: 9bd5eb50207e954f077d378f32140f2e779c6fc5
NeedsCompilation: no
Packaged: 2026-07-05 00:21:52 UTC; root
Author: Martin Guerrero [aut],
  Carlos Catania [cre]
Maintainer: Carlos Catania <harpomaxx@gmail.com>