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A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data
MOTIVATION: Recent advances in high dimensional phenotyping bring time as an extra dimension into the phenotypes. This promotes the quantitative trait locus (QTL) studies of function-valued traits such as those related to growth and development. Existing approaches for analyzing functional traits ut...
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| Publicado en: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6761969/ https://ncbi.nlm.nih.gov/pubmed/30850830 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz164 |
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