Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning

The genetic effect explains the causality from genetic mutations to the development of complex diseases. Existing genome-wide association study (GWAS) approaches are always built under a linear assumption, restricting their generalization in dissecting complicated causality such as the recessive gen...

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Publicado en:Patterns (N Y)
Main Authors: Bao, Feng, Deng, Yue, Du, Mulong, Ren, Zhiquan, Wan, Sen, Liang, Kenny Ye, Liu, Shaohua, Wang, Bo, Xin, Junyi, Chen, Feng, Christiani, David C., Wang, Meilin, Dai, Qionghai
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2020
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7660384/
https://ncbi.nlm.nih.gov/pubmed/33205126
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2020.100057
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