mAPKL-package: A hybrid feature selection method for gene expression data

In mAPKL: A Hybrid Feature Selection method for gene expression data

Description

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 an informative subset of genes.

Details

Package:	mAPKL
Type:	Package
Version:	0.99.01
Date:	2014-05-07
License:	GPL (>= 2)

Author(s)

Argiris Sakellariou Argiris Sakellariou <[e-mail]>

References

A. Sakellariou, D. Sanoudou, and G. Spyrou, "Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data, " BMC Bioinformatics, vol. 13, p. 270, 2012.

mAPKL documentation built on Nov. 8, 2020, 4:57 p.m.