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metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis
Motivation: A dominant approach to genetic association studies is to perform univariate tests between genotype-phenotype pairs. However, analyzing related traits together increases statistical power, and certain complex associations become detectable only when several variants are tested jointly. Cu...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Bioinformatics |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Oxford University Press
2016
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4920109/ https://ncbi.nlm.nih.gov/pubmed/27153689 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw052 |
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