Partial Least Squares: A Versatile Tool for the Analysis of High-Dimensional Genomic Data

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

Abstract

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.

• Item Type: Paper (Research Paper)
• Faculties: Mathematics, Computer Science and Statistics > Statistics > Collaborative Research Center 386; Special Research Fields > Special Research Field 386
• Subjects: 500 Science > 510 Mathematics
• Language: English