Big Data to Knowledge: Application of Machine Learning to Predictive Modeling of Therapeutic Response in Cancer.
Journal:
Current genomics
Published Date:
Dec 16, 2021
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.
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