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propOverlap (version 1.0)

Feature (gene) selection based on the Proportional Overlapping Scores

Description

A package for selecting the most relevant features (genes) in the high-dimensional binary classification problems. The discriminative features are identified using analyzing the overlap between the expression values across both classes. The package includes functions for measuring the proportional overlapping score for each gene avoiding the outliers effect. The used measure for the overlap is the one defined in the "Proportional Overlapping Score (POS)" technique for feature selection. A gene mask which represents a gene's classification power can also be produced for each gene (feature). The set size of the selected genes might be set by the user. The minimum set of genes that correctly classify the maximum number of the given tissue samples (observations) can be also produced.

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Version

Install

install.packages('propOverlap')

Monthly Downloads

135

Version

1.0

License

GPL (>= 2)

Maintainer

Last Published

September 15th, 2014

Functions in propOverlap (1.0)

POS

Calculating the proportional Overlapping Scores.
propOverlap-internal

Internal propOverlap functions.
RDC

Assiging the Relative Dominant Class.
CI.emprical

Computing the Core Intervals for Both Classes.
Sel.Features

Gene (Feature) Selection.
leukaemia

Leukaemia data set.
GMask

Producing Gene Masks.
lung

Lung cancer data set.
propOverlap-package

Feature (gene) selection based on the Proportional Overlapping Scores.