mAPKL

DOI: 10.18129/B9.bioc.mAPKL  

A Hybrid Feature Selection method for gene expression data

Bioconductor version: Release (3.17)

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>

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("mAPKL")

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

Documentation

PDF		Reference Manual

Details

biocViews	DifferentialExpression, FeatureExtraction, GeneExpression, Microarray, Software
Version	1.30.0
In Bioconductor since	BioC 3.1 (R-3.2) (8.5 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
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
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
Old Source Packages for BioC 3.17	Source Archive