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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Vydáno v:PLoS Genet
Hlavní autoři: Lu, Qiongshi, Powles, Ryan Lee, Wang, Qian, He, Beixin Julie, Zhao, Hongyu
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2016
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Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4825932/
https://ncbi.nlm.nih.gov/pubmed/27058395
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1005947
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