3 papers
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
Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe)
Neel Desai, Veerabhadran Baladandayuthapani, Russell T. Shinohara +1
We propose a new method for the simultaneous selection and estimation of multivariate sparse additive models with correlated errors. Our method called Covariance Assisted Multivari…
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…