Package: GSgalgoR Type: Package Title: An Evolutionary Framework for the Identification and Study of Prognostic Gene Expression Signatures in Cancer Version: 1.23.0 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: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:54:27 UTC RemoteUrl: https://github.com/bioc/GSgalgoR RemoteRef: HEAD RemoteSha: e07306f1b46ae1727499611d6d42443b0dc3cc53 NeedsCompilation: no Packaged: 2026-07-04 23:12:37 UTC; root Author: Martin Guerrero [aut], Carlos Catania [cre] Maintainer: Carlos Catania