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Article

Correlating multiple SNPs and multiple disease phenotypes: penalized non-linear canonical correlation analysis.

Bioinformatics (Oxford, England) - 1 Nov 2009

Waaijenborg Sandra, Zwinderman Aeilko H

Abstract excerpt

MOTIVATION: Canonical correlation analysis (CCA) can be used to capture the underlying genetic background of a complex disease, by associating two datasets containing information about a patient's phenotypical and genetic details. Often the genetic information is measured on a qualitative scale, consequently ordinary CCA cannot be applied to such data. Moreover, the size of the data in genetic studies can be...

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PMID: 19689958
DOI: 10.1093/bioinformatics/btp491

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