Data Science for Biophysics
FOCUS · A06 · ID: 46233
Presentations
-
Bayesian nonparametrics in multi-particle superresolved tracking
ORAL · Invited
–
Presenters
-
Zeliha Kilic
- St Jude's Childrens
Authors
-
Zeliha Kilic
- St Jude's Childrens
-
Steve Presse
- ASU
-
Ioannis Sgouralis
- University of Tennessee, Knoxville
-
-
Inference of C. elegans neural network structure from calcium flurescence time series data with reservoir computing
ORAL
–
Presenters
-
Amitava Banerjee
- University of Maryland, College Park
Authors
-
Amitava Banerjee
- University of Maryland, College Park
-
Sarthak Chandra
- Massachusetts Institute of Technology MIT
- Department of Brain and Cognitive Sciences and McGovern Institute, Massachusetts Institute of Technology, Cambridge, USA
-
Edward Ott
- University of Maryland, College Park
-
-
Towards Interpretable Imputation of Missing Observations with Time Slice Synthetic Minority Oversampling Technique
ORAL
–
Presenters
-
Andrew Baumgartner
- Institute for Systems Biology
Authors
-
Andrew Baumgartner
- Institute for Systems Biology
-
-
Graph neural networks for multicellular dynamics
ORAL
–
Presenters
-
Ming Han
- University of Chicago
Authors
-
Ming Han
- University of Chicago
-
John Devany
- University of Chicago
-
Margaret Gardel
- University of Chicago
-
Vincenzo Vitelli
- University of Chicago
-
-
Sociophysics of subjective pain: robust cluster assignment based on sparsely and irregularly sampled data from a dynamical system
ORAL
–
Publication: https://arxiv.org/abs/2108.13963
Presenters
-
Gary K Nave
- Northwestern University
Authors
-
Gary K Nave
- Northwestern University
-
Swati Padhee
- Wright State University
-
Kumar Utkarsh
- Northwestern University
-
Amanuel Alambo
- Wright State University
-
Tanvi Banerjee
- Wright State University
-
Nirmish Shah
- Duke University
-
Daniel M Abrams
- Northwestern University
-
-
Learning the shape of the protein universe with 3D-equivariant holographic convolutional neural networks
ORAL
–
Presenters
-
Michael Pun
- University of Washington
Authors
-
Michael Pun
- University of Washington
-
Andrew Ivanov
- University of Washington
-
Quinn Bellamy
- University of Washington
-
Colin LaMont
- Max Planck Institute for Dynamics and Self-Organization
-
Jakub Otwinowski
- Max Planck Institute for Dnyamics and Self-Organization
-
Armita Nourmohammad
- University of Washington
-
-
Machine learning continuum models for cellular force generation
ORAL
–
Presenters
-
Matthew Schmitt
- University of Chicago
Authors
-
Matthew Schmitt
- University of Chicago
-
Jonathan Colen
- University of Chicago
-
Stefano Sala
- Loyola University Chicago
-
Margaret Gardel
- University of Chicago
-
Patrick W Oakes
- Loyola University Chicago
-
Vincenzo Vitelli
- University of Chicago
-
-
EMBED: a low dimensional reconstruction of gut microbiome dynamics based on ecological normal modes
ORAL
–
Publication: https://www.biorxiv.org/content/10.1101/2021.03.18.436036v1
Presenters
-
Mayar A Shahin
- University of Florida
Authors
-
Mayar A Shahin
- University of Florida
-
Purushottam Dixit
- University of Florida
-
Brian Ji
- University of California - San Diego
-
-
Parameter estimation from stochastic processes applied to neural dynamics and aging
ORAL
–
Presenters
-
Helmut H Strey
- Stony Brook University (SUNY)
Authors
-
Helmut H Strey
- Stony Brook University (SUNY)
-
Lilianne R Mujica-Parodi
- Stony Brook University
-
Uri Alon
- Weizmann
-
Yifan Yang
- Weizmann
-
-
Salient projections over maximum projections: Improving deep-learning detection and segmentation during invasion of cell-dense spheroids.
ORAL
–
Presenters
-
Christopher Z Eddy
- Oregon State University
Authors
-
Christopher Z Eddy
- Oregon State University
-
-
Non-linear interpolation for genetic fitness prediction
ORAL
–
Presenters
-
Kai Shimagaki
- University of California, Riverside
Authors
-
Kai Shimagaki
- University of California, Riverside
-
John P Barton
- University of California, Riverside
-
-
Multi-Model Analysis of De novo Antimicrobial Peptide Design Via Variational Autoencoder Latent Sampling
ORAL
–
Presenters
-
Samuel Renaud
- Concordia University (Canada)
Authors
-
Samuel Renaud
- Concordia University (Canada)
-
Ré A Mansbach
- Concordia University
-
-
Learning the forces in active matter from the trajectories: a Graph-neural-network approach
ORAL
–
Presenters
-
Miguel Ruiz-Garcia
- Universidad Carlos III de Madrid
Authors
-
Miguel Ruiz-Garcia
- Universidad Carlos III de Madrid
-
Miguel Barriuso Gutierrez
- Universidad Complutense de Madrid
-
Luca M Ghiringhelli
- Fritz Haber Institute
- Fritz-Haber-Institute, MPS, Berlin, Germany
- Fritz-Haber Institute
- NOMAD Laboratory at the Fritz Haber Institute and Humboldt University
-
Chantal Valeriani
- Universidad Complutense de Madrid
-