Deep multi-omics integration by learning correlation-maximizing representation identifies prognostically stratified cancer subtypes

MOTIVATION: Molecular subtyping by integrative modeling of multi-omics and clinical data can help the identification of robust and clinically actionable disease subgroups; an essential step in developing precision medicine approaches. RESULTS: We developed a novel outcome-guided molecular subgroupin...

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Detalles Bibliográficos
Autores principales: Ji, Yanrong, Dutta, Pratik, Davuluri, Ramana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328436/
https://www.ncbi.nlm.nih.gov/pubmed/37424943
http://dx.doi.org/10.1093/bioadv/vbad075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328436/
https://www.ncbi.nlm.nih.gov/pubmed/37424943
http://dx.doi.org/10.1093/bioadv/vbad075

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