首页|National University of Singapore Reports Findings in Machine Learning (Comparing feature selection and machine learning approaches for predicting CYP2D6 methyla tion from genetic variation)
National University of Singapore Reports Findings in Machine Learning (Comparing feature selection and machine learning approaches for predicting CYP2D6 methyla tion from genetic variation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Singapore, Singapore, by NewsRx journalists, research stated, “Pharmacogenetics currently supports clini cal decision-making on the basis of a limited number of variants in a few genes and may benefit paediatric prescribing where there is a need for more precise do sing. Integrating genomic information such as methylation into pharmacogenetic m odels holds the potential to improve their accuracy and consequently prescribing decisions.” Funders for this research include National Research Foundation, Ministry of Heal th, National Medical Research Council, Agency for Science, Technology and Research.
SingaporeSingaporeAsiaCyborgsEme rging TechnologiesGeneticsHealth and MedicineMachine LearningPharmaceuti calsPharmacogenetics