Contributed Papers

Machine Learning for Spatiotemporal Data

Mon, Aug 4, 10:30 AM - 12:20 PM Room CC-103A Music City Center

Section on Statistical Learning and Data Science

6 Presentations

Joint spatiotemporal modeling of perturbation effects in single-cell data

10:35 AM - 10:50 AM

Co-authors: Osafu Augustine Egbon (National Institute of Environmental Health Sciences), Benedict Anchang (NIEHS), Osafu Augustine Egbon (National Institute of Environmental Health Sciences)

Spatial model Network Model Spatial Transcriptomics Cell-Cell Interaction Differential Expression

Kernel Density Balancing for Hi-C data

10:50 AM - 11:05 AM

Co-authors: John Park, Ning Hao (University of Arizona), John Park

Density Estimation Matrix Balancing

Machine Learning and Probabilistic Approaches for Forecasting COVID-19 Transmission and Cases

11:05 AM - 11:20 AM

Co-authors: MD SAKHAWAT HOSSAIN, MD SAKHAWAT HOSSAIN

Infectious Disease Modeling COVID-19 Effective Reproductive Number Forecasting Machine Learning

Nonlinear Surrogate Models for Emulating Spatial Fields from Multiphysics Models in Support of Glaucoma Diagnosis

11:20 AM - 11:35 AM

Co-authors: Mira Isnainy (University of Missouri-Columbia), Giovanna Guidoboni (University of Maine), Alon Harris (Icahn School of Medicine at Mount Sinai), Mira Isnainy (University of Missouri-Columbia), Christopher Wikle (University of Missouri)

glaucoma diagnosis intraocular pressure (IOP)statistical emulation spatial model machine learning

Unsupervised machine learning for discovery: workflow and best practices

11:35 AM - 11:50 AM

Co-authors: Andersen Chang, Tarek Zikry, Tarek Zikry, Tiffany Tang (University of Notre Dame), Genevera Allen

unsupervised learning workflow validation clustering dimension reduction statistical learning

MarkovCellNet: Statistical Inference of Time-Evolving Cell Populations via Compositional Markov Models

11:50 AM - 12:05 PM

Co-authors: Komlan Atitey (National Institute of Environmental Health Science (NIEHS)), Benedict Anchang (NIEHS), Komlan Atitey (National Institute of Environmental Health Science (NIEHS))

Placenta development Single-cell RNA sequencing Markov processes Cell-cell interactions Dimensionality reduction Computational models