FCBF

DOI: 10.18129/B9.bioc.FCBF    

Fast Correlation Based Filter for Feature Selection

Bioconductor version: Release (3.13)

This package provides a simple R implementation for the Fast Correlation Based Filter described in Yu, L. and Liu, H.; Feature Selection for High-Dimensional Data: A Fast Correlation Based Filter Solution,Proc. 20th Intl. Conf. Mach. Learn. (ICML-2003), Washington DC, 2003 The current package is an intent to make easier for bioinformaticians to use FCBF for feature selection, especially regarding transcriptomic data.This implies discretizing expression (function discretize_exprs) before calculating the features that explain the class, but are not predictable by other features. The functions are implemented based on the algorithm of Yu and Liu, 2003 and Rajarshi Guha's implementation from 13/05/2005 available (as of 26/08/2018) at http://www.rguha.net/code/R/fcbf.R .

Author: Tiago Lubiana [aut, cre], Helder Nakaya [aut, ths]

Maintainer: Tiago Lubiana <tiago.lubiana.alves at usp.br>

Citation (from within R, enter citation("FCBF")):

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("FCBF")

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("FCBF")

 

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Details

biocViews Classification, FeatureExtraction, GeneExpression, GeneTarget, ImmunoOncology, SingleCell, Software
Version 2.0.0
In Bioconductor since BioC 3.8 (R-3.5) (3 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports ggplot2, gridExtra, pbapply, parallel, SummarizedExperiment, stats, mclust
LinkingTo
Suggests caret, mlbench, SingleCellExperiment, knitr, rmarkdown, testthat, BiocManager
SystemRequirements
Enhances
URL
Depends On Me
Imports Me fcoex
Suggests Me PubScore
Links To Me
Build Report  

Package Archives

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

Source Package FCBF_2.0.0.tar.gz
Windows Binary FCBF_2.0.0.zip
macOS 10.13 (High Sierra) FCBF_2.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/FCBF
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/FCBF
Package Short Url https://bioconductor.org/packages/FCBF/
Package Downloads Report Download Stats

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