False Discovery Rate Control in Cancer Biomarker Selection Using Knockoffs

The discovery of biomarkers that are informative for cancer risk assessment, diagnosis, prognosis and treatment predictions is crucial. Recent advances in high-throughput genomics make it plausible to select biomarkers from the vast number of human genes in an unbiased manner. Yet, control of false...

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Bibliographic Details
Main Authors: Arlina Shen, Han Fu, Kevin He, Hui Jiang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/11/6/744