首页|Marmara University Reports Findings in Machine Learning (Genome-scale metabolic models in translational medicine: the current status and potential of machine le arning in improving the effectiveness of the models)
Marmara University Reports Findings in Machine Learning (Genome-scale metabolic models in translational medicine: the current status and potential of machine le arning in improving the effectiveness of the models)
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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 out of Istanbul, Turkey, by N ewsRx editors, research stated, “The genome-scale metabolic model (GEM) has emer ged as one of the leading modeling approaches for systems-level metabolic studie s and has been widely explored for a broad range of organisms and applications. Owing to the development of genome sequencing technologies and available biochem ical data, it is possible to reconstruct GEMs for model and non-model microorgan isms as well as for multicellular organisms such as humans and animal models.”
IstanbulTurkeyEurasiaCyborgsEmer ging TechnologiesGeneticsMachine Learning
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