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
FeatSeekR_1.7.0.zip(r-4.5)FeatSeekR_1.7.0.zip(r-4.4)FeatSeekR_1.7.0.zip(r-4.3)
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)
FeatSeekR_1.7.0.tgz(r-4.4-emscripten)FeatSeekR_1.7.0.tgz(r-4.3-emscripten)
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

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

Last updated 3 months agofrom:404e1a8b0c. Checks:3 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 29 2024
R-4.5-winNOTEDec 31 2024
R-4.5-linuxNOTEDec 29 2024
R-4.4-winNOTEDec 31 2024
R-4.4-macNOTEDec 29 2024
R-4.3-winOKDec 31 2024
R-4.3-macOKDec 29 2024

Exports:FeatSeekplotSelectedFeaturesplotVarianceExplainedsimData

Dependencies:abindaskpassBiobaseBiocGenericsclicolorspacecrayoncurlDelayedArrayfarvergenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluegtablehttrIRangesjsonlitelabelinglatticelifecycleMASSMatrixMatrixGenericsmatrixStatsmimemunsellopensslpheatmappracmaR6RColorBrewerrlangS4ArraysS4VectorsscalesSparseArraySummarizedExperimentsysUCSC.utilsviridisLiteXVector

FeatSeekR user guide

Rendered fromFeatSeekR-vignette.Rmdusingknitr::rmarkdownon Dec 29 2024.

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