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A quadratically regularized functional canonical correlation analysis for identifying the global structure of pleiotropy with NGS data
Investigating the pleiotropic effects of genetic variants can increase statistical power, provide important information to achieve deep understanding of the complex genetic structures of disease, and offer powerful tools for designing effective treatments with fewer side effects. However, the curren...
Tallennettuna:
| Julkaisussa: | PLoS Comput Biol |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5659802/ https://ncbi.nlm.nih.gov/pubmed/29040274 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005788 |
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