Package: FeatSeekR 1.7.2

Tuemay Capraz

FeatSeekR: FeatSeekR an R package for unsupervised feature selection

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.

Authors:Tuemay Capraz [cre, aut]

FeatSeekR_1.7.2.tar.gz
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FeatSeekR_1.7.2.tgz(r-4.5-any)FeatSeekR_1.7.2.tgz(r-4.4-any)FeatSeekR_1.7.2.tgz(r-4.3-any)
FeatSeekR_1.7.2.tar.gz(r-4.5-noble)FeatSeekR_1.7.2.tar.gz(r-4.4-noble)
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FeatSeekR.pdf |FeatSeekR.html
FeatSeekR/json (API)
NEWS

# Install 'FeatSeekR' in R:
install.packages('FeatSeekR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tcapraz/featseekr/issues

On BioConductor:FeatSeekR-1.7.0(bioc 3.21)FeatSeekR-1.6.0(bioc 3.20)

softwarestatisticalmethodfeatureextractionmassspectrometry

4.48 score 2 stars 3 scripts 153 downloads 4 exports 43 dependencies

Last updated 4 days agofrom:e4fd2d7320. Checks:3 OK, 4 NOTE, 1 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-winNOTEJan 30 2025
R-4.5-macWARNINGJan 30 2025
R-4.5-linuxNOTEJan 30 2025
R-4.4-winNOTEJan 30 2025
R-4.4-macNOTEJan 30 2025
R-4.3-winOKJan 30 2025
R-4.3-macOKJan 30 2025

Exports:FeatSeekplotSelectedFeaturesplotVarianceExplainedsimData

Dependencies:abindaskpassBiobaseBiocGenericsclicolorspacecrayoncurlDelayedArrayfarvergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluegtablehttrIRangesjsonlitelabelinglatticelifecycleMASSMatrixMatrixGenericsmatrixStatsmimemunsellopensslpheatmappracmaR6RColorBrewerrlangS4ArraysS4VectorsscalesSparseArraySummarizedExperimentsysUCSC.utilsviridisLiteXVector

FeatSeekR user guide

Rendered fromFeatSeekR-vignette.Rmdusingknitr::rmarkdownon Jan 30 2025.

Last update: 2025-01-28
Started: 2021-11-24