Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning (AutoML). Orlenko Alena et al. Bioinformatics (Oxford, England) 2019 Nov

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Last Posted: Nov 14, 2019

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• Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning (AutoML).
  Orlenko Alena et al. Bioinformatics (Oxford, England) 2019 Nov
• Real-time health monitoring through urine metabolomics
  IJ Miller et al, NPJ Digital Medicine, November 11, 2019
• Precision medicine: The future of diagnostic approach to pulmonary hypertension?
  Kedzierski Piotr et al. Anatolian journal of cardiology 2019 Sep 22(4) 168-171
• Deep Learning-Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer.
  Chaudhary Kumardeep et al. Clinical cancer research : an official journal of the American Association for Cancer Research 2018 24(6) 1248-1259
• Diagnostic Biomarkers: Are We Moving from Discovery to Clinical Application?
  Parker Lucy A et al. Clinical chemistry 2018 64(11) 1657-1667
• Quantitative methods for metabolomic analyses evaluated in the Children’s Health Exposure Analysis Resource (CHEAR)
  CHEAR team, J Exp Sci and Env Epi, September 2019
• Introducing the CDC Office of Genomics and Precision Public Health: What?s in a Name?
  M Khoury, CDC Blog, September 30, 2019
• Quantitative methods for metabolomic analyses evaluated in the Children's Health Exposure Analysis Resource (CHEAR).
  , et al. Journal of exposure science & environmental epidemiology 2019 9 0.
• Heart Failure in the Era of Precision Medicine: A Scientific Statement From the American Heart Association.
  Cresci Sharon et al. Circulation. Genomic and precision medicine 2019 Sep HCG0000000000000058
• When You Don?t Know, You Feel Alone in the World? The odyssey of the undiagnosed.
  DE Bechard, Stanford Magazine, Summer 2019

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