DOI: 10.18129/B9.bioc.FCBF  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see FCBF.

Fast Correlation Based Filter for Feature Selection

Bioconductor version: 3.16

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")):


To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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



HTML R Script FCBF : Fast Correlation Based Filter for Feature Selection
PDF   Reference Manual
Text   NEWS


biocViews Classification, FeatureExtraction, GeneExpression, GeneTarget, ImmunoOncology, SingleCell, Software
Version 2.6.0
In Bioconductor since BioC 3.8 (R-3.5) (4.5 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports ggplot2, gridExtra, pbapply, parallel, SummarizedExperiment, stats, mclust
Suggests caret, mlbench, SingleCellExperiment, knitr, rmarkdown, testthat, BiocManager
Depends On Me
Imports Me fcoex
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package FCBF_2.6.0.tar.gz
Windows Binary FCBF_2.6.0.zip (64-bit only)
macOS Binary (x86_64) FCBF_2.6.0.tgz
macOS Binary (arm64) FCBF_2.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/FCBF
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/FCBF
Bioc Package Browser https://code.bioconductor.org/browse/FCBF/
Package Short Url https://bioconductor.org/packages/FCBF/
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: