Joint learning sample similarity and correlation representation for cancer survival prediction

BACKGROUND: As a highly aggressive disease, cancer has been becoming the leading death cause around the world. Accurate prediction of the survival expectancy for cancer patients is significant, which can help clinicians make appropriate therapeutic schemes. With the high-throughput sequencing techno...

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Detalles Bibliográficos
Autores principales: Hao, Yaru, Jing, Xiao-Yuan, Sun, Qixing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761951/
https://www.ncbi.nlm.nih.gov/pubmed/36536289
http://dx.doi.org/10.1186/s12859-022-05110-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761951/
https://www.ncbi.nlm.nih.gov/pubmed/36536289
http://dx.doi.org/10.1186/s12859-022-05110-1

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