An integrative tissue-network approach to identify and test human disease genes

被引：0
|
作者：
Victoria Yao
Rachel Kaletsky
William Keyes
Danielle E Mor
Aaron K Wong
Salman Sohrabi
Coleen T Murphy
Olga G Troyanskaya
机构：
[1] Princeton University,Department of Computer Science
[2] Lewis-Sigler Institute for Integrative Genomics,Department of Molecular Biology
[3] Princeton University,undefined
[4] Princeton University,undefined
[5] Flatiron Institute,undefined
[6] Simons Foundation,undefined
来源：
Nature Biotechnology | 2018年 / 36卷
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摘要：
An integrative computational approach leverages data from model systems and human genome-wide studies to predict genes that have a functional role in disease.
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页码：1091 / 1099
页数：8
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