metaCCA 1.20.0

:: DESCRIPTION

metaCCA performs multivariate analysis of a single or multiple genome-wide association studies based on univariate regression coefficients. It allows multivariate representation of both phenotype and genotype.

::DEVELOPER

Matti Pirinen

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Linux / Windows
• R/ BioConductor

:: DOWNLOAD

metaCCA

:: MORE INFORMATION

Citation

Cichonska A, Rousu J, Marttinen P, Kangas AJ, Soininen P, Lehtimäki T, Raitakari OT, Järvelin MR, Salomaa V, Ala-Korpela M, Ripatti S, Pirinen M.
metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis.
Bioinformatics. 2016 Jul 1;32(13):1981-9. doi: 10.1093/bioinformatics/btw052. Epub 2016 Feb 19. PMID: 27153689; PMCID: PMC4920109.