Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments

BACKGROUND: Machine learning (ML) methods still have limited applicability in personalized oncology due to low numbers of available clinically annotated molecular profiles. This doesn’t allow sufficient training of ML classifiers that could be used for improving molecular diagnostics. METHODS: We re...

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Detalles Bibliográficos
Autores principales: Borisov, Nicolas, Sorokin, Maxim, Tkachev, Victor, Garazha, Andrew, Buzdin, Anton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499993/
https://www.ncbi.nlm.nih.gov/pubmed/32948183
http://dx.doi.org/10.1186/s12920-020-00759-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499993/
https://www.ncbi.nlm.nih.gov/pubmed/32948183
http://dx.doi.org/10.1186/s12920-020-00759-0

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