Tag: Canonical Correlation

metaCCA 1.20.0 – Multivariate meta-analysis of GWAS using Canonical Correlation Analysis

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.

SCCA – Sparse Canonical Correlation Analysis

SCCA

:: DESCRIPTION

SCCA (Sparse Canonical Correlation Analysis) examines the relationships between two types of variables and provides sparse solutions that include only small subsets of variables of each type by maximizing the correlation between the subsets of variables of different types while performing variable selection. We also present an extension of SCCA – adaptive SCCA. We evaluate their properties using simulated data and illustrate practical use by applying both methods to the study of natural variation in human gene expression.

::DEVELOPER

David Tritchler

: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

   SCCA

:: MORE INFORMATION

Citation

Daniela M Witten and Robert J. Tibshirani
Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data
Stat Appl Genet Mol Biol. 2009 January 1; 8(1): Article 28.