Risk Stratification for Breast Cancer Patient by Simultaneous Learning of Molecular Subtype and Survival Outcome Using Genetic Algorithm-Based Gene Set Selection†

SIMPLE SUMMARY: Patient stratification is clinically important because it allows us to understand the characteristics and establish treatment strategies for a group. Transcriptomic data play an important role in determining molecular subtypes and predicting survival. In the case of breast cancer, al...

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Detalles Bibliográficos
Autores principales: Koo, Bonil, Lee, Dohoon, Lee, Sangseon, Sung, Inyoung, Kim, Sun, Lee, Sunho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454699/
https://www.ncbi.nlm.nih.gov/pubmed/36077657
http://dx.doi.org/10.3390/cancers14174120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454699/
https://www.ncbi.nlm.nih.gov/pubmed/36077657
http://dx.doi.org/10.3390/cancers14174120

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