To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mAPKL")
In most cases, you don't need to download the package archive at all.
mAPKL
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A Hybrid Feature Selection method for gene expression data
Bioconductor version: Release (3.5)
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("mAPKL")
Documentation
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 |
Details
| biocViews | DifferentialExpression, FeatureExtraction, GeneExpression, Microarray, Software |
| Version | 1.6.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (2.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 3.2.0), 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 | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | mAPKL_1.6.0.tar.gz |
| Windows Binary | mAPKL_1.6.0.zip |
| Mac OS X 10.11 (El Capitan) | mAPKL_1.6.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/mAPKL |
| Package Short Url | http://bioconductor.org/packages/mAPKL/ |
| Package Downloads Report | Download Stats |
Documentation »
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