FCBF

DOI: 10.18129/B9.bioc.FCBF    

Fast Correlation Based Filter for Feature Selection

Bioconductor version: Release (3.14)

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>

Installation

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

if (!require("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")

 

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

Details

biocViews	Classification, FeatureExtraction, GeneExpression, GeneTarget, ImmunoOncology, SingleCell, Software
Version	2.2.0
In Bioconductor since	BioC 3.8 (R-3.5) (3.5 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_2.2.0.tar.gz
Windows Binary	FCBF_2.2.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	FCBF_2.2.0.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
Old Source Packages for BioC 3.14	Source Archive