Registration and Call for Abstracts Open for Bioc2024

FCBF

Fast Correlation Based Filter for Feature Selection


Bioconductor version: Release (3.18)

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 "4.3") 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

Reference Manual PDF

Details

biocViews Classification, FeatureExtraction, GeneExpression, GeneTarget, ImmunoOncology, SingleCell, Software
Version 2.10.0
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports ggplot2, gridExtra, pbapply, parallel, SummarizedExperiment, stats, mclust
System Requirements
URL
See More
Suggests caret, mlbench, SingleCellExperiment, knitr, rmarkdown, testthat, BiocManager
Linking To
Enhances
Depends On Me
Imports Me fcoex
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package
Windows Binary FCBF_2.10.0.zip
macOS Binary (x86_64) FCBF_2.10.0.tgz
macOS Binary (arm64) FCBF_2.10.0.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