Partial least squares: a versatile tool for the analysis of high-dimensional genomic data

@article{Boulesteix2006PartialLS,
  title={Partial least squares: a versatile tool for the analysis of high-dimensional genomic data},
  author={Anne-Laure Boulesteix and Korbinian Strimmer},
  journal={Briefings in bioinformatics},
  year={2006},
  volume={8 1},
  pages={
          32-44
        }
}
Partial least squares (PLS) is an efficient statistical regression technique that is highly suited for the analysis of genomic and proteomic data. In this article, we review both the theory underlying PLS as well as a host of bioinformatics applications of PLS. In particular, we provide a systematic comparison of the PLS approaches currently employed, and discuss analysis problems as diverse as, e.g. tumor classification from transcriptome data, identification of relevant genes, survival… CONTINUE READING

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