首页|Open University Reports Findings in Machine Learning [KbhbXG: A Machine learning architecture based on XGBoost for prediction of lysine b-Hyd roxybutyrylation (Kbhb) modification sites]
Open University Reports Findings in Machine Learning [KbhbXG: A Machine learning architecture based on XGBoost for prediction of lysine b-Hyd roxybutyrylation (Kbhb) modification sites]
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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 Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Lysine bhydroxybutyrylation is an important post-translational modification (PTM) involved in various physi ological and biological processes. In this research, we introduce a novel predic tor KbhbXG, which utilizes XGBoost to identify b-hydroxybutyrylation modificatio n sites based on protein sequence information.”
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