Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated by these platforms, and rely on experts to hand-se...

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Detalles Bibliográficos
Autores principales: Yousefi, Safoora, Amrollahi, Fatemeh, Amgad, Mohamed, Dong, Chengliang, Lewis, Joshua E., Song, Congzheng, Gutman, David A., Halani, Sameer H., Velazquez Vega, Jose Enrique, Brat, Daniel J., Cooper, Lee A. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601479/
https://www.ncbi.nlm.nih.gov/pubmed/28916782
http://dx.doi.org/10.1038/s41598-017-11817-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5601479/
https://www.ncbi.nlm.nih.gov/pubmed/28916782
http://dx.doi.org/10.1038/s41598-017-11817-6

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