Unsupervised Machine Learning for Analysis of Coexisting Lipid Phases and Domain Growth in Biological Membranes
César A. López, Velimir V. Vesselinov, Sandrasegaram Gnanakaran, Boian S. Alexandrov
This paper introduces NMFk, an unsupervised machine learning method, to analyze lipid phase separation in MD simulations, identifying roles of lipids, nano-domains, timescales, and physical features.
bioRxiv · Feb 12, 2019 · PreprintBioinformatics