Co-authors: Roger McLendon (Department of Pathology, Duke University School of Medicine), Simon Gregory (Department of Neurosurgery, Duke University School of Medicine), Zhicheng Ji (Duke University)

Spatial gene profiling Graph theory Graph canonization Statistical genomics Subgraph mining Cellular microenvironments

Scale-Invariant Joint Clustering and Deconvolution of Spatial Transcriptomics

11:35 AM - 11:50 AM

Hyun Jung Koo (School of Statistics, University of Minnesota - Twin Cities)

Co-authors: Aaron Molstad (University of Minnesota)

Clustering Spatial Transcriptomics Scale invariant Post selection inference Optimization Reference‑free deconvolution

SpatialCCA: Spatially aware method for cross-tissue integration in Spatial Transcriptomics

11:50 AM - 12:05 PM

Jingxian Tang (Boston University School of Public Health)

Co-authors: Ching-Ti Liu (Boston University School of Public Health), Lukas Weber (Boston University, Department of Biostatistics)

Spatial Transcriptomics Canonical Correlation Analysis Dimension Reduction Cross-tissue Integration

SsJSD: A Fusion of Sparsity and Spatial Information for Hi-C Single-Cell Clustering

12:05 PM - 12:20 PM

Sang Wan Lee (The Ohio State University)

Co-authors: Shili Lin (Ohio State University)

Single cell Hi-C Single-cell clustering Contact distance profile Structural zeros Jensen-Shannon divergence Data integration