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Association screening of common and rare genetic variants by penalized regression

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...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Zhou, Hua, Sehl, Mary E., Sinsheimer, Janet S., Lange, Kenneth
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2010
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3025646/
https://ncbi.nlm.nih.gov/pubmed/20693321
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq448
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