Topic-Contributed Paper Session

Statistics in Modern Transcriptomics

Wed, Aug 6, 2:00 PM - 3:50 PM Room CC-101C Music City Center

Section on Statistics in Genomics and Genetics co: International Chinese Statistical Associationco: Section on Statistical Learning and Data Science Applied

5 Presentations

A unified model to detect spatially-variable and trajectory-preserved genes in spatial transcriptomics

2:05 PM - 2:25 PM

Yuehua Cui (Michigan State University)

Mining spatial -omics data with a spatially-aware high-dimensional regression method

2:25 PM - 2:45 PM

Sha Cao (Indiana University, School of Medicine)

BSNMani_ST: A Bayesian Model for Linking Spatial Transcriptomics Features to Patient Phenotypes at the Population Scale

2:45 PM - 3:05 PM

Lana Garmire

Co-authors: Lana Garmire

Towards efficient integration of LLM gene embeddings to gene expression analysis

3:05 PM - 3:25 PM

Jun Li (University of Notre Dame)

Sparse low rank models for cellular perturbation experiments

3:25 PM - 3:45 PM

Dylan Cable (University of Michigan)

Co-authors: Dylan Cable (University of Michigan)

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