Integrative Tissue-Specific Functional Annotations in the Human Genome Provide Novel Insights on Many Complex Traits and Improve Signal Prioritization in Genome Wide Association Studies

Extensive efforts have been made to understand genomic function through both experimental and computational approaches, yet proper annotation still remains challenging, especially in non-coding regions. In this manuscript, we introduce GenoSkyline, an unsupervised learning framework to predict tissu...

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Detalles Bibliográficos
Autores principales: Lu, Qiongshi, Powles, Ryan Lee, Wang, Qian, He, Beixin Julie, Zhao, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825932/
https://www.ncbi.nlm.nih.gov/pubmed/27058395
http://dx.doi.org/10.1371/journal.pgen.1005947

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825932/
https://www.ncbi.nlm.nih.gov/pubmed/27058395
http://dx.doi.org/10.1371/journal.pgen.1005947

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