FeatSeekR

DOI: 10.18129/B9.bioc.FeatSeekR  

FeatSeekR an R package for unsupervised feature selection

Bioconductor version: Release (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>

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")

 

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

Details

biocViews	FeatureExtraction, MassSpectrometry, Software, StatisticalMethod
Version	1.0.0
In Bioconductor since	BioC 3.17 (R-4.3) (< 6 months)
License	GPL-3
Depends
Imports	pheatmap, MASS, pracma, stats, SummarizedExperiment, methods
LinkingTo
Suggests	rmarkdown, knitr, BiocStyle, DmelSGI, testthat (>= 3.0.0)
SystemRequirements
Enhances
URL	https://github.com/tcapraz/FeatSeekR
BugReports	https://github.com/tcapraz/FeatSeekR/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

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/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.17	Source Archive