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Boulesteix, Anne-Laure and Strimmer, Korbinian (2005): Partial Least Squares: A Versatile Tool for the Analysis of High-Dimensional Genomic Data. Collaborative Research Center 386, Discussion Paper 457 [PDF, 197kB]


Partial Least Squares (PLS) is a highly efficient statistical regression technique that is well suited for the analysis of high-dimensional genomic data. In this paper we review the theory and applications of PLS both under methodological and biological points of view. Focusing on microarray expression data we provide a systematic comparison of the PLS approaches currently employed, and discuss problems as different as tumor classification, identification of relevant genes, survival analysis and modeling of gene networks.

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