mAPKL

This package is for version 3.9 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see mAPKLData.

A Hybrid Feature Selection method for gene expression data


Bioconductor version: 3.9

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 "3.6") 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

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mAPKL")
mAPKL Tutorial PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, FeatureExtraction, GeneExpression, Microarray, Software
Version 1.14.1
In Bioconductor since BioC 3.1 (R-3.2) (9 years)
License GPL (>= 2)
Depends R (>= 3.6.0), Biobase
Imports multtest, clusterSim, apcluster, limma, e1071, AnnotationDbi, methods, parmigene, igraph, reactome.db
System Requirements
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Suggests BiocStyle, knitr, mAPKLData, hgu133plus2.db, RUnit, BiocGenerics
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Package Archives

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

Source Package mAPKL_1.14.1.tar.gz
Windows Binary mAPKL_1.14.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) mAPKL_1.14.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/mAPKL
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mAPKL
Bioc Package Browser https://code.bioconductor.org/browse/mAPKL/
Package Short Url https://bioconductor.org/packages/mAPKL/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive