DOI: 10.18129/B9.bioc.FeatSeekR  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see FeatSeekR.

FeatSeekR an R package for unsupervised feature selection

Bioconductor version: 3.17

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.

Author: Tuemay Capraz [cre, aut]

Maintainer: Tuemay Capraz <tuemay.capraz at embl.de>

Citation (from within R, enter citation("FeatSeekR")):


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HTML R Script `FeatSeekR` user guide
PDF   Reference Manual
Text   NEWS


biocViews FeatureExtraction, MassSpectrometry, Software, StatisticalMethod
Version 1.0.0
In Bioconductor since BioC 3.17 (R-4.3) (< 6 months)
License GPL-3
Imports pheatmap, MASS, pracma, stats, SummarizedExperiment, methods
Suggests rmarkdown, knitr, BiocStyle, DmelSGI, testthat (>= 3.0.0)
URL https://github.com/tcapraz/FeatSeekR
BugReports https://github.com/tcapraz/FeatSeekR/issues
Depends On Me
Imports Me
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Source Package FeatSeekR_1.0.0.tar.gz
Windows Binary FeatSeekR_1.0.0.zip (64-bit only)
macOS Binary (x86_64) FeatSeekR_1.0.0.tgz
macOS Binary (arm64) FeatSeekR_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/FeatSeekR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/FeatSeekR
Bioc Package Browser https://code.bioconductor.org/browse/FeatSeekR/
Package Short Url https://bioconductor.org/packages/FeatSeekR/
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