Sparse Canonical Correlation Analysis with Application to Genomic Data Integration

2009 ◽  
Vol 8 (1) ◽  
pp. 1-34 ◽  
Author(s):  
Elena Parkhomenko ◽  
David Tritchler ◽  
Joseph Beyene
2013 ◽  
Vol 14 (1) ◽  
pp. 245 ◽  
Author(s):  
Dongdong Lin ◽  
Jigang Zhang ◽  
Jingyao Li ◽  
Vince D Calhoun ◽  
Hong-Wen Deng ◽  
...  

2016 ◽  
Author(s):  
Gad Abraham ◽  
Michael Inouye

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.Availability and implementationhttps://github.com/gabraham/[email protected]


PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0237511 ◽  
Author(s):  
Hyebin Lee ◽  
Bo-yong Park ◽  
Kyoungseob Byeon ◽  
Ji Hye Won ◽  
Mansu Kim ◽  
...  

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