mAPKL
This package is for version 3.11 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: 3.11
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("mAPKL")
):
Installation
To install this package, start R (version "4.0") 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 | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, FeatureExtraction, GeneExpression, Microarray, Software |
Version | 1.18.0 |
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 | |
URL |
See More
Suggests | BiocStyle, knitr, mAPKLData, hgu133plus2.db, RUnit, BiocGenerics |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | mAPKL_1.18.0.tar.gz |
Windows Binary | mAPKL_1.18.0.zip |
macOS 10.13 (High Sierra) | mAPKL_1.18.0.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 3.11 | Source Archive |