Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations

Assessing the causal tissues of human complex diseases is important for the prioritization of trait-associated genetic variants. Yet, the biological underpinnings of trait-associated variants are extremely difficult to infer due to statistical noise in genome-wide association studies (GWAS), and bec...

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Detalles Bibliográficos
Autores principales: Pei, Guangsheng, Hu, Ruifeng, Dai, Yulin, Manuel, Astrid Marilyn, Zhao, Zhongming, Jia, Peilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797043/
https://www.ncbi.nlm.nih.gov/pubmed/33300042
http://dx.doi.org/10.1093/nar/gkaa1137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797043/
https://www.ncbi.nlm.nih.gov/pubmed/33300042
http://dx.doi.org/10.1093/nar/gkaa1137

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