首页|New Findings from University of Missouri in Machine Learning Provides New Insigh ts (Machine Learning In Rna Structure Prediction: Advances and Challenges)
New Findings from University of Missouri in Machine Learning Provides New Insigh ts (Machine Learning In Rna Structure Prediction: Advances and Challenges)
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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 Columbia, Missouri, by NewsRx editors, research stated, “RNA molecules play a crucial role in various biological processes, with their functionality closely tied to their structures. The remarkable advancements in machine learning techniques for protein structur e prediction have shown promise in the field of RNA structure prediction.” Financial support for this research came from National Institutes of Health (NIH ) - USA. Our news journalists obtained a quote from the research from the University of M issouri, “In this perspective, we discuss the advances and challenges encountere d in constructing machine learning-based models for RNA structure prediction. We explore topics including model building strategies, specific challenges involve d in predicting RNA secondary (2D) and tertiary (3D) structures, and approaches to these challenges. In addition, we highlight the advantages and challenges of constructing RNA language models.”
ColumbiaMissouriUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesGeneticsMachine LearningUniversity of Missouri
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