mAPKL

DOI: 10.18129/B9.bioc.mAPKL    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see mAPKL.

A Hybrid Feature Selection method for gene expression data

Bioconductor version: 3.12

We propose a hybrid FS method (mAP-KL), which combines multiple hypothesis testing and affinity propagation (AP)-clustering algorithm along with the Krzanowski & Lai cluster quality index, to select a small yet informative subset of genes.

Author: Argiris Sakellariou

Maintainer: Argiris Sakellariou <argisake at gmail.com>

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

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("mAPKL")

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("mAPKL")

 

PDF R Script mAPKL Tutorial
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, FeatureExtraction, GeneExpression, Microarray, Software
Version 1.20.0
In Bioconductor since BioC 3.1 (R-3.2) (6 years)
License GPL (>= 2)
Depends R (>= 3.6.0), Biobase
Imports multtest, clusterSim, apcluster, limma, e1071, AnnotationDbi, methods, parmigene, igraph, reactome.db
LinkingTo
Suggests BiocStyle, knitr, mAPKLData, hgu133plus2.db, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package mAPKL_1.20.0.tar.gz
Windows Binary mAPKL_1.20.0.zip
macOS 10.13 (High Sierra) mAPKL_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mAPKL
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mAPKL
Package Short Url https://bioconductor.org/packages/mAPKL/
Package Downloads Report Download Stats

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