3 papers
q-bio.QM2025
TopSpace: spatial topic modeling for unsupervised discovery of multicellular spatial tissue structures in multiplex imaging
Junsouk Choi, Jian Kang, Veerabhadran Baladandayuthapani
Motivation: Understanding the spatial architecture of tissues is essential for decoding the complex interactions within cellular ecosystems and their implications for disease patho…
stat.AP2024
Spatially Structured Regression for Non-conformable Spaces: Integrating Pathology Imaging and Genomics Data in Cancer
Nathaniel Osher, Jian Kang, Arvind Rao +1
The spatial composition and cellular heterogeneity of the tumor microenvironment plays a critical role in cancer development and progression. High-definition pathology imaging of t…
stat.ME2023
Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks
Tsung-Hung Yao, Yang Ni, Anindya Bhadra +2
Graphical models are powerful tools to investigate complex dependency structures in high-throughput datasets. However, most existing graphical models make one of the two canonical…