Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers

Multiple omic profiles have been generated for many cancer types; however, comprehensive assessment of their prognostic values across cancers is limited. We conducted a pan-cancer prognostic assessment and presented a multi-omic kernel machine learning method to systematically quantify the prognosti...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Bin, Song, Nan, Shen, Ronglai, Arora, Arshi, Machiela, Mitchell J., Song, Lei, Landi, Maria Teresa, Ghosh, Debashis, Chatterjee, Nilanjan, Baladandayuthapani, Veera, Zhao, Hongyu
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/PMC5717223/
https://www.ncbi.nlm.nih.gov/pubmed/29209073
http://dx.doi.org/10.1038/s41598-017-17031-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717223/
https://www.ncbi.nlm.nih.gov/pubmed/29209073
http://dx.doi.org/10.1038/s41598-017-17031-8

Ejemplares similares