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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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Détails bibliographiques
Publié dans:BMC Med Genomics
Auteurs principaux: Borisov, Nicolas, Sorokin, Maxim, Tkachev, Victor, Garazha, Andrew, Buzdin, Anton
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2020
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Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7499993/
https://ncbi.nlm.nih.gov/pubmed/32948183
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-020-00759-0
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