首页|Nanjing University Reports Findings in Machine Learning (DeepCheck: multitask le arning aids in assessing microbial genome quality)
Nanjing University Reports Findings in Machine Learning (DeepCheck: multitask le arning aids in assessing microbial genome quality)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Machine Learning is th e subject of a report. According to newsreporting originating in Nanjing, Peopl e's Republic of China, by NewsRx journalists, research stated,"Metagenomic anal yses facilitate the exploration of the microbial world, advancing our understand ing ofmicrobial roles in ecological and biological processes. A pivotal aspect of metagenomic analysis involvesassessing the quality of metagenome-assembled g enomes (MAGs), crucial for accurate biological insights."Funders for this research include National Key Research and Development Program of China, NationalNatural Science Foundation of China.The news reporters obtained a quote from the research from Nanjing University, " Current machinelearning-based methods often treat completeness and contaminatio n prediction as separate tasks, overlookingtheir inherent relationship and limi ting models' generalization. In this study, we present DeepCheck, amultitasking deep learning framework for simultaneous prediction of MAG completeness and con tamination.DeepCheck consistently outperforms existing tools in accuracy across various experimental settingsand demonstrates comparable speed while maintaini ng high predictive accuracy even for new lineages."
NanjingPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesGeneticsMachine Learning
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