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FeatSeekR

FeatSeekR an R package for unsupervised feature selection


Bioconductor version: Release (3.18)

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")):

Installation

To install this package, start R (version "4.3") and enter:


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

BiocManager::install("FeatSeekR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("FeatSeekR")
`FeatSeekR` user guide HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews FeatureExtraction, MassSpectrometry, Software, StatisticalMethod
Version 1.2.0
In Bioconductor since BioC 3.17 (R-4.3) (1 year)
License GPL-3
Depends
Imports pheatmap, MASS, pracma, stats, SummarizedExperiment, methods
System Requirements
URL https://github.com/tcapraz/FeatSeekR
Bug Reports https://github.com/tcapraz/FeatSeekR/issues
See More
Suggests rmarkdown, knitr, BiocStyle, DmelSGI, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package FeatSeekR_1.2.0.tar.gz
Windows Binary FeatSeekR_1.2.0.zip
macOS Binary (x86_64) FeatSeekR_1.2.0.tgz
macOS Binary (arm64) FeatSeekR_1.2.0.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/
Package Downloads Report Download Stats