GSgalgoR
An Evolutionary Framework for the Identification and Study of Prognostic Gene Expression Signatures in Cancer
Bioconductor version: 3.23 · Package version: 1.22.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GSgalgoR")Details
| Maintainer | Carlos Catania <harpomaxx@gmail.com> |
| Author | Martin Guerrero [aut], Carlos Catania [cre] |
| License | MIT + file LICENSE |
| URL | https://github.com/harpomaxx/GSgalgoR |
| Bug Reports | https://github.com/harpomaxx/GSgalgoR/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Clustering, GeneExpression, Software, Survival, Transcription |
| Package Short Url | https://bioconductor.org/packages/GSgalgoR/ |
Citation
From within R, enter citation("GSgalgoR"):
Martin Guerrero. GSgalgoR: An Evolutionary Framework for the Identification and Study of Prognostic Gene Expression Signatures in Cancer. doi:10.18129/B9.bioc.GSgalgoR, R package version 1.22.0, https://bioconductor.org/packages/GSgalgoR.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | GSgalgoR_1.22.0.tar.gz |
| Windows binary (x86_64) | GSgalgoR_1.22.0.zip |
| macOS binary (arm64) | GSgalgoR_1.22.0.tgz |
| macOS binary (x86_64) | GSgalgoR_1.22.0.tgz |
Dependencies
Imports: cluster, doParallel, foreach, matchingR, nsga2R, survival, proxy, stats, methods
Suggests: knitr, rmarkdown, ggplot2, BiocStyle, genefu, survcomp, Biobase, survminer, breastCancerTRANSBIG, breastCancerUPP, iC10TrainingData, pamr, testthat