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Journal of Molecular Biology|February 22, 2023
Integrating Molecular Models Into CryoEM Heterogeneity Analysis Using Scalable High-resolution Deep Gaussian Mixture ModelsMuyuan Chen, Bogdan Toader, Roy Lederman... International Conference on Sampling Theory and Applications (Sampta). International Conference on Sampling Theory and Applications|March 4, 2024
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical PhenomenaRoy R Lederman, Bogdan ToaderBMC Bioinformatics|June 6, 2013
A random-permutations-based approach to fast read alignmentRoy LedermanArxiv|June 5, 2026
Gaussian Mixture Model-Based Focused Refinement for Enhanced Flexible Structure Determination in CryoEM and CryoETMuyuan ChenBiorxiv : the Preprint Server for Biology|October 10, 2024
Building molecular model series from heterogeneous CryoEM structures using Gaussian mixture models and deep neural networksMuyuan ChenBiorxiv : the Preprint Server for Biology|February 6, 2026
Gradient based refinement of CryoET tilt series alignment improves tomogram contrast and structure resolutionMuyuan ChenBiorxiv : the Preprint Server for Biology|March 18, 2024
Rendering protein structures inside cells at the atomic level with Unreal EngineMuyuan ChenJournal of Molecular Biology|March 2, 2023
Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous HeterogeneityBogdan Toader, Fred J Sigworth, Roy R LedermanActa Crystallographica. Section D, Structural Biology|June 23, 2025
Efficient high-resolution refinement in cryo-EM with stochastic gradient descentBogdan Toader, Marcus A Brubaker, Roy R LedermanArxiv|December 11, 2023
Efficient high-resolution refinement in cryo-EM with stochastic gradient descentBogdan Toader, Marcus A Brubaker, Roy R LedermanPageof 6