期刊
BIOINFORMATICS
卷 26, 期 19, 页码 2375-2382出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btq448
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资金
- USPHS [GM53275, MH59490, CA87949, CA16042]
- Breast Cancer Research Foundation
- American Society of Clinical Oncology
Motivation: This article extends our recent research on penalized estimation methods in genome-wide association studies to the realm of rare variants. Results: The new strategy is tested on both simulated and real data. Our findings on breast cancer data replicate previous results and shed light on variant effects within genes.
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