Robotics & Machine Learning Daily News2024,Issue(Mar.14) :26-27.

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)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :26-27.

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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Abstract

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.”

Key words

Istanbul/Turkey/Eurasia/Cyborgs/Emer ging Technologies/Genetics/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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