Package: FeatSeekR 1.7.0

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_1.7.0.tar.gz
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FeatSeekR_1.7.0.tgz(r-4.4-any)FeatSeekR_1.7.0.tgz(r-4.3-any)
FeatSeekR_1.7.0.tar.gz(r-4.5-noble)FeatSeekR_1.7.0.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-1.5.0(bioc 3.20)FeatSeekR-1.4.0(bioc 3.19)

softwarestatisticalmethodfeatureextractionmassspectrometry

4.30 score 2 stars 3 scripts 112 downloads 4 exports 43 dependencies

Last updated 25 days agofrom:404e1a8b0c. Checks:OK: 2 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macOKOct 31 2024

Exports:FeatSeekplotSelectedFeaturesplotVarianceExplainedsimData

Dependencies:abindaskpassBiobaseBiocGenericsclicolorspacecrayoncurlDelayedArrayfarverGenomeInfoDbGenomeInfoDbDataGenomicRangesgluegtablehttrIRangesjsonlitelabelinglatticelifecycleMASSMatrixMatrixGenericsmatrixStatsmimemunsellopensslpheatmappracmaR6RColorBrewerrlangS4ArraysS4VectorsscalesSparseArraySummarizedExperimentsysUCSC.utilsviridisLiteXVectorzlibbioc

FeatSeekR user guide

Tuemay Capraz

Rendered fromFeatSeekR-vignette.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2023-04-17
Started: 2021-11-24