⚠️There's a newer version (1.4.2) of this package.Take me there.

mAPKL (version 1.2.0)

A Hybrid Feature Selection method for gene expression data

Description

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.

Copy Link

Version

1.2.0

License

GPL (>= 2)

Maintainer

Argiris Sakellariou

Last Published

February 15th, 2017

Functions in mAPKL (1.2.0)

metrics

Computes several clasification metrics

mAPKLRes-class

Class "mAPKLRes"

report

Produce an HTML report of the mAP-KL analysis

sampling

Splits a dataset to a train and a test sets of a user defined percentage

DataLD-class

Class "DataLD"

preprocess

Performs normalization and/or log2 transformation

loadFiles

Imports gene expression data

probes2pathways

Extract pathways from "exemplars"

mAPKL-package

A hybrid feature selection method for gene expression data

mAPKL

The mAP-KL algorithm

classification

Classify samples according to the SVM algorithm

Calculates network characteristics

Annot-class

Class "Annot"

annotate

Genome annotation of the "exemplars".