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Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
Motivation: For many classes of disease the same genetic risk variants underly many related phenotypes or disease subtypes. Multinomial logistic regression provides an attractive framework to analyze multi-category phenotypes, and explore the genetic relationships between these phenotype categories....
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4908321/ https://ncbi.nlm.nih.gov/pubmed/26873930 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw075 |
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