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bioRxiv · 10.1101/047217

FlashPCA: fast sparse canonical correlation analysis of genomic data

Gad Abraham·Michael Inouye
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Abstract

SummarySparse canonical correlation analysis (SCCA) is a useful approach for correlating one set of measurements, such as single nucleotide polymorphisms (SNPs), with another set of measurements, such as gene expression levels. We present a fast implementation of SCCA, enabling rapid analysis of hundreds of thousands of SNPs together with thousands of phenotypes. Our approach is implemented both as an R package flashpcaR and within the standalone commandline tool flashpca.\n\nAvailability and implementationhttps://github.com/gabraham/flashpca\n\nContactgad.abraham@unimelb.edu.au

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Gad Abraham, Michael Inouye. 2016-04-06. FlashPCA: fast sparse canonical correlation analysis of genomic data. https://doi.org/10.1101/047217

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