Package: FCBF
Type: Package
Title: Fast Correlation Based Filter for Feature Selection
Version: 1.0.1
Authors@R: c(person("Tiago", "Lubiana", email = "tiago.lubiana.alves@usp.br",
  role = c("aut", "cre")), person("Helder", "Nakaya", email = "hnkaya@usp.br",
  role = c("aut","ths")))
Maintainer: Tiago Lubiana <tiago.lubiana.alves@usp.br>
Description: 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 . 
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: False
RoxygenNote: 6.1.0.9000
Imports: ggplot2, gridExtra, SummarizedExperiment
Suggests: caret, mlbench, SingleCellExperiment, knitr, rmarkdown,
        testthat, BiocManager
biocViews: ImmunoOncology, GeneTarget, FeatureExtraction,
        Classification, GeneExpression, SingleCell
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
git_url: https://git.bioconductor.org/packages/FCBF
git_branch: RELEASE_3_8
git_last_commit: 2e9e337
git_last_commit_date: 2019-01-04
Date/Publication: 2019-01-04
NeedsCompilation: no
Packaged: 2019-01-05 05:14:17 UTC; biocbuild
Author: Tiago Lubiana [aut, cre],
  Helder Nakaya [aut, ths]
Built: R 3.5.2; ; 2019-01-05 11:57:44 UTC; windows
