Last Posted: Nov 20, 2019
- A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.
Mendez Kevin M et al. Metabolomics : Official journal of the Metabolomic Society 2019 Nov 15(12) 150 - Pharmaco-Geno-Proteo-Metabolomics and Translational Research in Cancer.
Fernández-Figueroa Edith A et al. Advances in experimental medicine and biology 2019 11681-7 - 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.
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