Florence Tama
Orcid: 0000-0003-2021-5618
According to our database1,
Florence Tama
authored at least 13 papers
between 2004 and 2024.
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Bibliography
2024
Xphase3d: Memory-Distributed Phase Retrieval for Reconstructing Large-Scale 3D Density Maps of Biological Macromolecules.
Proceedings of the IEEE International Conference on Cluster Computing, 2024
2023
Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification.
Proceedings of the 52nd International Conference on Parallel Processing, 2023
2022
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns.
Proceedings of the 18th IEEE International Conference on e-Science, 2022
2021
Protocol for Retrieving Three-Dimensional Biological Shapes for a Few XFEL Single-Particle Diffraction Patterns.
J. Chem. Inf. Model., 2021
2020
Computational Protocol for Assessing the Optimal Pixel Size to Improve the Accuracy of Single-particle Cryo-electron Microscopy Maps.
J. Chem. Inf. Model., 2020
2018
Poisson image denoising by piecewise principal component analysis and its application in single-particle X-ray diffraction imaging.
IET Image Process., 2018
Searching for 3D structural models from a library of biological shapes using a few 2D experimental images.
BMC Bioinform., 2018
2017
Flexible fitting to cryo-EM density map using ensemble molecular dynamics simulations.
J. Comput. Chem., 2017
2014
Elastic image registration to fully explore macromolecular dynamics by electron microscopy.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Steered Molecular Dynamics Simulations of a Type IV Pilus Probe Initial Stages of a Force-Induced Conformational Transition.
PLoS Comput. Biol., 2013
3DEM Loupe: analysis of macromolecular dynamics using structures from electron microscopy.
Nucleic Acids Res., 2013
2004
Topology representing neural networks reconcile biomolecular shape, structure, and dynamics.
Neurocomputing, 2004