PCAMethods {GeneSelector}R Documentation

Principal Components Analysis for different ranking procedures

Description

Aggregation over different perturbed datasets can be performed using one of the methods beginning with Aggregate.
For aggregation with respect to different ranking procedures, principal components analysis is used in the following manner: For each gene, the rankings obtained from, say K, procedures are stored in a p x K matrix, where p is the total number of genes. The different ranking procedures are intepreted as variables.
The first principal component is used to form an aggregated ranking.

Usage

PCAMethods(Rlist)

Arguments

Rlist A list of objects of class GeneRanking.

Value

An object of class PCAMethodsResult.

Author(s)

Martin Slawski martin.slawski@campus.lmu.de
Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix


[Package GeneSelector version 1.2.0 Index]