首页|Researchers from Jiangnan University Describe Findings in Machine Learning (Deepppthermo: a Deep Learning Framework for Predicting Protein Thermostability Combining Protein-level and Amino Acid-level Features)
Researchers from Jiangnan University Describe Findings in Machine Learning (Deepppthermo: a Deep Learning Framework for Predicting Protein Thermostability Combining Protein-level and Amino Acid-level Features)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news originatingfrom Wuxi, People’s Republic of China, by NewsRx correspondents, research stated, “Using wet experimentalmethods to discover new thermophilic proteins or improve protein thermostability is time-consumingand expensive. Machine learning methods have shown powerful performance in the study of protein thermostabilityin recent years.”
WuxiPeople’s Republic of ChinaAsiaAmino AcidsCyborgsEmerging TechnologiesMachine LearningPeptidesProteinsJiangnan University
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