PT  - JOURNAL ARTICLE
AU  - Gad Abraham
AU  - Michael Inouye
TI  - FlashPCA: fast sparse canonical correlation analysis of genomic data
AID  - 10.1101/047217
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 047217
4099  - http://biorxiv.org/content/early/2016/04/06/047217.short
4100  - http://biorxiv.org/content/early/2016/04/06/047217.full
AB  - Summary Sparse 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.Availability and implementation https://github.com/gabraham/flashpcaContact gad.abraham{at}unimelb.edu.au