Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning

Triple negative breast cancer (TNBC) lacks well-defined molecular targets and is highly heterogenous, making treatment challenging. Using gene expression analysis, TNBC has been classified into four different subtypes: basal-like immune-activated (BLIA), basal-like immune-suppressed (BLIS), mesenchy...

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Detalles Bibliográficos
Autores principales: Bissanum, Rassanee, Chaichulee, Sitthichok, Kamolphiwong, Rawikant, Navakanitworakul, Raphatphorn, Kanokwiroon, Kanyanatt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472680/
https://www.ncbi.nlm.nih.gov/pubmed/34575658
http://dx.doi.org/10.3390/jpm11090881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472680/
https://www.ncbi.nlm.nih.gov/pubmed/34575658
http://dx.doi.org/10.3390/jpm11090881

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