Classification of breast cancer patients using somatic mutation profiles and machine learning approaches

BACKGROUND: The high degree of heterogeneity observed in breast cancers makes it very difficult to classify the cancer patients into distinct clinical subgroups and consequently limits the ability to devise effective therapeutic strategies. Several classification strategies based on ER/PR/HER2 expre...

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Detalles Bibliográficos
Autores principales: Vural, Suleyman, Wang, Xiaosheng, Guda, Chittibabu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009820/
https://www.ncbi.nlm.nih.gov/pubmed/27587275
http://dx.doi.org/10.1186/s12918-016-0306-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5009820/
https://www.ncbi.nlm.nih.gov/pubmed/27587275
http://dx.doi.org/10.1186/s12918-016-0306-z

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