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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Arlina, Fu, Han, He, Kevin, Jiang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628039/
https://www.ncbi.nlm.nih.gov/pubmed/31146393
http://dx.doi.org/10.3390/cancers11060744

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628039/
https://www.ncbi.nlm.nih.gov/pubmed/31146393
http://dx.doi.org/10.3390/cancers11060744

Ejemplares similares