Identifying noncoding risk variants using disease-relevant gene regulatory networks

Identifying noncoding risk variants remains a challenging task. Because noncoding variants exert their effects in the context of a gene regulatory network (GRN), we hypothesize that explicit use of disease-relevant GRNs can significantly improve the inference accuracy of noncoding risk variants. We...

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Detalles Bibliográficos
Autores principales: Gao, Long, Uzun, Yasin, Gao, Peng, He, Bing, Ma, Xiaoke, Wang, Jiahui, Han, Shizhong, Tan, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816022/
https://www.ncbi.nlm.nih.gov/pubmed/29453388
http://dx.doi.org/10.1038/s41467-018-03133-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816022/
https://www.ncbi.nlm.nih.gov/pubmed/29453388
http://dx.doi.org/10.1038/s41467-018-03133-y

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