Bioinformatics 2014
DOI: 10.1201/b16589-10
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Dimension Reduction with Gene Expression Data Using Targeted Variable Importance Measurement

Abstract: Background: When a large number of candidate variables are present, a dimension reduction procedure is usually conducted to reduce the variable space before the subsequent analysis is carried out. The goal of dimension reduction is to find a list of candidate genes with a more operable length ideally including all the relevant genes. Leaving many uninformative genes in the analysis can lead to biased estimates and reduced power. Therefore, dimension reduction is often considered a necessary predecessor of the … Show more

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