Skip to content

Latest commit

 

History

History
17 lines (12 loc) · 799 Bytes

README.md

File metadata and controls

17 lines (12 loc) · 799 Bytes

metaCCA

The MATLAB codes in this repository can be used to perform metaCCA
(and its variant metaCCA+) - summary statistics-based analysis
of a single or multiple genome-wide association studies (GWAS)
that allows multivariate representation of both genotype and phenotype.

example.m demonstrates the usage of metaCCA. Test files are provided.

Please cite the following paper when using the software:
metaCCA: Summary statistics-based multivariate meta-analysis
of genome-wide association studies using canonical correlation analysis.

15/07/2015 Anna Cichonska, [email protected]

R implementation: http://bioconductor.org/packages/metaCCA/