Big Data to Knowledge: Application of Machine Learning to Predictive Modeling of Therapeutic Response in Cancer.

Journal: Current genomics
Published Date:

Abstract

BACKGROUND: In recent years, the availability of high throughput technologies, establishment of large molecular patient data repositories, and advancement in computing power and storage have allowed elucidation of complex mechanisms implicated in therapeutic response in cancer patients. The breadth and depth of such data, alongside experimental noise and missing values, requires a sophisticated human-machine interaction that would allow effective learning from complex data and accurate forecasting of future outcomes, ideally embedded in the core of machine learning design.

Authors

  • Sukanya Panja
    1Department of Health Informatics, Rutgers School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ 07107, USA; 2Fort Lee High School, 3000 Lemoine Avenue Fort Lee, NJ 07024, USA; 3Rutgers Cancer Institute of New Jersey, The State University of New Jersey, New Brunswick, NJ 08901, USA.
  • Sarra Rahem
    1Department of Health Informatics, Rutgers School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ 07107, USA; 2Fort Lee High School, 3000 Lemoine Avenue Fort Lee, NJ 07024, USA; 3Rutgers Cancer Institute of New Jersey, The State University of New Jersey, New Brunswick, NJ 08901, USA.
  • Cassandra J Chu
    1Department of Health Informatics, Rutgers School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ 07107, USA; 2Fort Lee High School, 3000 Lemoine Avenue Fort Lee, NJ 07024, USA; 3Rutgers Cancer Institute of New Jersey, The State University of New Jersey, New Brunswick, NJ 08901, USA.
  • Antonina Mitrofanova
    1Department of Health Informatics, Rutgers School of Health Professions, Rutgers Biomedical and Health Sciences, Newark, NJ 07107, USA; 2Fort Lee High School, 3000 Lemoine Avenue Fort Lee, NJ 07024, USA; 3Rutgers Cancer Institute of New Jersey, The State University of New Jersey, New Brunswick, NJ 08901, USA.

Keywords

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