首页|Recent Findings from University of Tennessee Provides New Insights into Machine Learning (Cryo-em Images of Phase-separated Lipid Bilayer Vesicles Analyzed With a Machine-learning Approach)
Recent Findings from University of Tennessee Provides New Insights into Machine Learning (Cryo-em Images of Phase-separated Lipid Bilayer Vesicles Analyzed With a Machine-learning Approach)
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Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Knoxville, Tennessee, by NewsRx correspondents, research stated, "Lateral lipid heterogenei ty (i.e., raft formation) in biomembranes plays a functional role in living cell s. Threecomponent mixtures of low- and high-melting lipids plus cholesterol off er a simplified experimental model for raft domains in which a liquid-disordered (Ld) phase coexists with a liquid-ordered (Lo) phase." Financial support for this research came from National Science Foundation (NSF).
KnoxvilleTennesseeUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniver sity of Tennessee
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