首页|European Bioinformatics Institute Reports Findings in Machine Learning (Dataset from a human-in-the-loop approach to identify functionally important protein res idues from literature)
European Bioinformatics Institute Reports Findings in Machine Learning (Dataset from a human-in-the-loop approach to identify functionally important protein res idues from literature)
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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 Cambridge, United King dom, by NewsRx editors, research stated, “We present a novel system that leverag es curators in the loop to develop a dataset and model for detecting structure f eatures and functional annotations at residue-level from standard publication te xt. Our approach involves the integration of data from multiple resources, inclu ding PDBe, EuropePMC, PubMedCentral, and PubMed, combined with annotation guidel ines from UniProt, and LitSuggest and HuggingFace models as tools in the annotat ion process.”
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