Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems.

Abstract excerpt

BACKGROUND: Variable selection on high throughput biological data, such as gene expression or single nucleotide polymorphisms (SNPs), becomes inevitable to select relevant information and, therefore, to better characterize diseases or assess genetic structure. There are different ways to perform variable selection in large data sets. Statistical tests are commonly used to identify differentially expressed...

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