AIMC Topic: Glycine Hydroxymethyltransferase

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Machine learning algorithm-based risk prediction model of coronary artery disease.

Molecular biology reports Jul 11, 2018
In view of high mortality associated with coronary artery disease (CAD), development of an early predicting tool will be beneficial in reducing the burden of the disease. The database comprising demographic, conventional, folate/xenobiotic genetic ri...
Humans Machine Learning Algorithms Forecasting Female Risk Factors Aged Adult Male Middle Aged Case-Control Studies Genetic Predisposition to Disease Polymorphism, Single Nucleotide Coronary Artery Disease Folic Acid Epistasis, Genetic Multifactor Dimensionality Reduction Xenobiotics Cytochrome P-450 CYP1A1 Glycine Hydroxymethyltransferase
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