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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "metaCCA" in publications use:'
type: software
license: MIT
title: 'metaCCA: Summary Statistics-Based Multivariate Meta-Analysis of Genome-Wide
  Association Studies Using Canonical Correlation Analysis'
version: 1.33.0
doi: 10.1093/bioinformatics/btw052
identifiers:
- type: doi
  value: 10.32614/CRAN.package.metaCCA
abstract: metaCCA performs multivariate analysis of a single or multiple GWAS based
  on univariate regression coefficients. It allows multivariate representation of
  both phenotype and genotype. metaCCA extends the statistical technique of canonical
  correlation analysis to the setting where original individual-level records are
  not available, and employs a covariance shrinkage algorithm to achieve robustness.
authors:
- family-names: Cichonska
  given-names: Anna
  email: anna.cichonska@gmail.com
preferred-citation:
  type: article
  title: 'metaCCA: Summary statistics-based multivariate meta-analysis of genome-wide
    association studies using canonical correlation analysis'
  authors:
  - name: Anna Cichonska
  - name: Juho Rousu
  - name: Pekka Marttinen
  - name: Antti J Kangas
  - name: Pasi Soininen
  - name: Terho Lehtimaki
  - name: Olli T Raitakari
  - name: Marjo-Riitta Jarvelin
  - name: Veikko Salomaa
  - name: Mika Ala-Korpela
  - name: Samuli Ripatti
  - name: Matti Pirinen
  year: '2016'
  journal: Bioinformatics
  volume: '32'
  doi: 10.1093/bioinformatics/btw052
  url: https://doi.org/10.1093/bioinformatics/btw052
  start: 1981-1989
repository: https://bioc.r-universe.dev
commit: 14372c65adadce111d3c0953605a19fa79368275
url: https://doi.org/10.1093/bioinformatics/btw052
date-released: '2016-01-26'
contact:
- family-names: Cichonska
  given-names: Anna
  email: anna.cichonska@gmail.com