Considerations of automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure

9 Oct 2017Alena OrlenkoJason H. MoorePatryk OrzechowskiRandal S. OlsonJunmei CairnsPedro J. CaraballoRichard M. WeinshilboumLiewei WangMatthew K. Breitenstein

With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for advancing translational clinical research. Automated Machine Learning (AutoML) approaches provide exciting opportunity to guide feature selection in agnostic metabolic profiling endeavors, where potentially thousands of independent data points must be evaluated... (read more)

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