Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data

BACKGROUND: Cancer is one of the leading death causes around the world. Accurate prediction of its survival time is significant, which can help clinicians make appropriate therapeutic schemes. Cancer data can be characterized by varied molecular features, clinical behaviors and morphological appeara...

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Detalles Bibliográficos
Autores principales: Hao, Yaru, Jing, Xiao-Yuan, Sun, Qixing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308712/
https://www.ncbi.nlm.nih.gov/pubmed/37380946
http://dx.doi.org/10.1186/s12859-023-05392-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308712/
https://www.ncbi.nlm.nih.gov/pubmed/37380946
http://dx.doi.org/10.1186/s12859-023-05392-z

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