A Fast and Noise-Resilient Approach to Detect Rare-Variant Associations With Deep Sequencing Data for Complex Disorders
Author:
Affiliation:
1. Department of Biostatistics; Mailman School of Public Health; Columbia University; New York; New York
2. Department of Molecular and Human Genetics; Baylor College of Medicine; Houston; Texas
Publisher
Wiley
Subject
Genetics (clinical),Epidemiology
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5. A covering method for detecting genetic associations between rare variants and common phenotypes;Bhatia;PLoS Comput Biol,2010
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