Detecting survival-associated biomarkers from heterogeneous populations

Detection of prognostic factors associated with patients’ survival outcome helps gain insights into a disease and guide treatment decisions. The rapid advancement of high-throughput technologies has yielded plentiful genomic biomarkers as candidate prognostic factors, but most are of limited use in...

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Detalles Bibliográficos
Autores principales: Saegusa, Takumi, Zhao, Zhiwei, Ke, Hongjie, Ye, Zhenyao, Xu, Zhongying, Chen, Shuo, Ma, Tianzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865037/
https://www.ncbi.nlm.nih.gov/pubmed/33547332
http://dx.doi.org/10.1038/s41598-021-82332-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865037/
https://www.ncbi.nlm.nih.gov/pubmed/33547332
http://dx.doi.org/10.1038/s41598-021-82332-y

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