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Invited Paper Session

Advanced Statistical and Machine Learning based methods for Spatial Biology

Sun, Aug 3, 2:00 PM - 3:50 PM Room CC-Davidson Ballroom B Music City Center

Satwik AcharyyaOrganizerFrederick BoehmChair

Section on Statistics in Genomics and Genetics co: Biometrics Sectionco: International Society for Computational Biology Applied

4 Presentations

Mitigating Data Double Dipping in Statistical Tests Post-Unsupervised Learning: The Role of Synthetic Null Data and Data Splitting Approaches in Single-Cell and Spatial Transcriptomics

2:05 PM - 2:30 PM

Jingyi Jessica Li (UCLA)

Double dipping, single-cell data, spatial omics, data splitting

Network models for Spatial Transcriptomics data

2:30 PM - 2:55 PM

Satwik Acharyya (University of Alabama at Birmingham)

Spatially varying graphs, spatial transcriptomics, graphical regression

Spatial Immunophenotyping from Whole-Slide Multiplexed Tissue Imaging using Convolutional Neural Networks

2:55 PM - 3:20 PM

Ronglai Shen (Memorial Sloan-Kettering Cancer Center)

Spatial immunophenotyping, convolutional neural networks, spatial imaging

Unleashing the Potential of Spatial Transcriptomics: Statistical Innovations for Translational Research

3:20 PM - 3:45 PM

Raphael Gottardo (Fred Hutchinson Cancer Research Center)

Large scale spatial omics data, translational science, cancer biology

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