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MTG2: an efficient algorithm for multivariate linear mixed model analysis based on genomic information
Summary: We have developed an algorithm for genetic analysis of complex traits using genome-wide SNPs in a linear mixed model framework. Compared to current standard REML software based on the mixed model equation, our method is substantially faster. The advantage is largest when there is only a sin...
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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/PMC4848406/ https://ncbi.nlm.nih.gov/pubmed/26755623 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw012 |
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