DOI: 10.18129/B9.bioc.mAPKL  

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A Hybrid Feature Selection method for gene expression data

Bioconductor version: Release (3.18)

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>

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biocViews DifferentialExpression, FeatureExtraction, GeneExpression, Microarray, Software
Version 1.32.0
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
Suggests BiocStyle, knitr, mAPKLData, hgu133plus2.db, RUnit, BiocGenerics
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