Biologically informed deep neural network for prostate cancer discovery

The determination of molecular features that mediate clinically aggressive phenotypes in prostate cancer remains a major biological and clinical challenge(1,2). Recent advances in interpretability of machine learning models as applied to biomedical problems may enable discovery and prediction in cli...

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Detalles Bibliográficos
Autores principales: Elmarakeby, Haitham A., Hwang, Justin, Arafeh, Rand, Crowdis, Jett, Gang, Sydney, Liu, David, AlDubayan, Saud H., Salari, Keyan, Kregel, Steven, Richter, Camden, Arnoff, Taylor E., Park, Jihye, Hahn, William C., Van Allen, Eliezer M.
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/PMC8514339/
https://www.ncbi.nlm.nih.gov/pubmed/34552244
http://dx.doi.org/10.1038/s41586-021-03922-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514339/
https://www.ncbi.nlm.nih.gov/pubmed/34552244
http://dx.doi.org/10.1038/s41586-021-03922-4

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