Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis

BACKGROUND: Breast cancer is the most prevalent and among the most deadly cancers in females. Patients with breast cancer have highly variable survival lengths, indicating a need to identify prognostic biomarkers for personalized diagnosis and treatment. With the development of new technologies such...

Descripción completa

Detalles Bibliográficos
Autores principales: Tong, Li, Mitchel, Jonathan, Chatlin, Kevin, Wang, May D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493161/
https://www.ncbi.nlm.nih.gov/pubmed/32933515
http://dx.doi.org/10.1186/s12911-020-01225-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493161/
https://www.ncbi.nlm.nih.gov/pubmed/32933515
http://dx.doi.org/10.1186/s12911-020-01225-8

Ejemplares similares