Bayesian variable selection using Knockoffs with applications to genomics

• Main Authors: Yap, Jurel K, Gauran, Iris Ivy M
• Format: text
• Published: Archīum Ateneo 2022
• Subjects: Bayesian variable selection; Model-free Knockoffs; False discovery control; Drug resistant HIV-1; Mathematics; Medicine and Health Sciences; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/asog-pubs/239; https://doi.org/10.1007/s00180-022-01283-8
• Institution: Ateneo De Manila University

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...