Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments.

Journal: BMC medical genomics
Published Date: Sep 18, 2020

Abstract

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.

Authors

  • Nicolas Borisov
    Department of Bioinformatics and Molecular Networks, OmicsWay Corporation, Walnut, CA, United States.
  • Maxim Sorokin
    Department of Bioinformatics and Molecular Networks, OmicsWay Corporation, Walnut, CA, United States.
  • Victor Tkachev
    Department of Bioinformatics and Molecular Networks, OmicsWay Corporation, Walnut, CA, United States.
  • Andrew Garazha
    Department of Bioinformatics and Molecular Networks, OmicsWay Corporation, Walnut, CA, United States.
  • Anton Buzdin
    Department of Bioinformatics and Molecular Networks, OmicsWay Corporation, Walnut, CA, United States.

Keywords

External Resources

Popular Topics
Recent Journals