Florence Tama

According to our database, Florence Tama authored at least 12 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification.

Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.

Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns.

Paula Olaya, Silvina Caíno-Lores, Vanessa Lama, Ria Patel, Ariel Keller Rorabaugh, Osamu Miyashita, Florence Tama, Michela Taufer

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.

Sandhya P. Tiwari, Florence Tama, Osamu Miyashita

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.

Sandhya P. Tiwari, Sahil Chhabra, Florence Tama, Osamu Miyashita

J. Chem. Inf. Model., 2020

2018

Poisson image denoising by piecewise principal component analysis and its application in single-particle X-ray diffraction imaging.

Qiyu Jin, Osamu Miyashita, Florence Tama, Jie Yang, Slavica Jonic

IET Image Process., 2018

Searching for 3D structural models from a library of biological shapes using a few 2D experimental images.

Sandhya P. Tiwari, Florence Tama, Osamu Miyashita

BMC Bioinform., 2018

2017

Flexible fitting to cryo-EM density map using ensemble molecular dynamics simulations.

Osamu Miyashita, Chigusa Kobayashi, Takaharu Mori, Yuji Sugita, Florence Tama

J. Comput. Chem., 2017

2014

Elastic image registration to fully explore macromolecular dynamics by electron microscopy.

Qiyu Jin, Carlos Oscar Sánchez Sorzano, Isabelle Callebaut, Florence Tama, Slavica Jonic

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.

Joseph L. Baker, Nicolas Biais, Florence Tama

PLoS Comput. Biol., 2013

3DEM Loupe: analysis of macromolecular dynamics using structures from electron microscopy.

Rubén Nogales-Cadenas, Slavica Jonic, Florence Tama, A. A. Arteni, Daniel Tabas-Madrid, Miguel Vázquez, Alberto D. Pascual-Montano, Carlos Oscar Sánchez Sorzano

Nucleic Acids Res., 2013

2004

Topology representing neural networks reconcile biomolecular shape, structure, and dynamics.

Willy Wriggers, Pablo Chacón, Julio A. Kovacs, Florence Tama, Stefan Birmanns

Neurocomputing, 2004