Bioconductor version: Release (3.16)
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")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mAPKL")
R Script | mAPKL Tutorial | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, FeatureExtraction, GeneExpression, Microarray, Software |
Version | 1.28.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (8 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 |
Follow Installation instructions to use this package in your R session.
Source Package | mAPKL_1.28.0.tar.gz |
Windows Binary | mAPKL_1.28.0.zip |
macOS Binary (x86_64) | mAPKL_1.28.0.tgz |
macOS Binary (arm64) | mAPKL_1.28.0.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 |
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