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Evolution‐informed modeling improves outcome prediction for cancers

Despite wide applications of high‐throughput biotechnologies in cancer research, many biomarkers discovered by exploring large‐scale omics data do not provide satisfactory performance when used to predict cancer treatment outcomes. This problem is partly due to the overlooking of functional implicat...

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Detalles Bibliográficos
Autores principales:	Liu, Li, Chang, Yung, Yang, Tao, Noren, David P, Long, Byron, Kornblau, Steven, Qutub, Amina, Ye, Jieping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2016
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192825/ https://www.ncbi.nlm.nih.gov/pubmed/28035236 http://dx.doi.org/10.1111/eva.12417

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