首页|University of Oxford Reports Findings in Machine Learning (A Machine Learning Ap proach for Predicting Essentiality of Metabolic Genes)

University of Oxford Reports Findings in Machine Learning (A Machine Learning Ap proach for Predicting Essentiality of Metabolic Genes)

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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 Oxford, United Kingdom, by NewsRx journalists, research stated, “The identification of essential genes i s a key challenge in systems and synthetic biology, particularly for engineering metabolic pathways that convert feedstocks into valuable products. Assessment o f gene essentiality at a genome scale requires large and costly growth assays of knockout strains.”

OxfordUnited KingdomEuropeCyborgsEmerging TechnologiesGeneticsMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.21)