Bayesian variable selection using Knockoffs with applications to genomics

Bayesian variable selection using Knockoffs with applications to genomics

Given the costliness of HIV drug therapy research, it is important not only to maximize true positive rate (TPR) by identifying which genetic markers are related to drug resistance, but also to minimize false discovery rate (FDR) by reducing the number of incorrect markers unrelated to drug resistan...

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書目詳細資料
Main Authors:	Yap, Jurel K, Gauran, Iris Ivy M
格式:	text
出版:	Archīum Ateneo 2022
主題:	Bayesian variable selection Model-free Knockoffs False discovery control Drug resistant HIV-1 Mathematics Medicine and Health Sciences Physical Sciences and Mathematics
在線閱讀:	https://archium.ateneo.edu/asog-pubs/239 https://doi.org/10.1007/s00180-022-01283-8
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Ateneo De Manila University

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