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FeatSeekR

FeatSeekR an R package for unsupervised feature selection

Bioconductor version: 3.24 · Package version: 1.13.0

FeatSeekR performs unsupervised feature selection using replicated measurements. It iteratively selects features with the highest reproducibility across replicates, after projecting out those dimensions from the data that are spanned by the previously selected features. The selected a set of features has a high replicate reproducibility and a high degree of uniqueness.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("FeatSeekR")

Details

MaintainerTuemay Capraz <tuemay.capraz@embl.de>
AuthorTuemay Capraz [cre, aut] (ORCID: <https://orcid.org/0000-0002-2547-067X>)
LicenseGPL-3
URLhttps://github.com/tcapraz/FeatSeekR
Bug Reportshttps://github.com/tcapraz/FeatSeekR/issues
Downloads rank298
Source branchdevel
biocViewsFeatureExtraction, MassSpectrometry, Software, StatisticalMethod

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageFeatSeekR_1.13.0.tar.gz
Windows binary (x86_64)FeatSeekR_1.13.0.zip
macOS binary (arm64)FeatSeekR_1.13.0.tgz
macOS binary (x86_64)FeatSeekR_1.13.0.tgz
Dependencies

Imports: pheatmap, MASS, pracma, stats, SummarizedExperiment, methods

Suggests: rmarkdown, knitr, BiocStyle, testthat (>= 3.0.0)