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Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
Liying Chen, Satwik Acharyya, Allison M. May +3
Advances in spatial transcriptomics (ST) technologies enable systematic molecular characterization of tumor microenvironment, tumor gradients and gene regulatory networks. Cancer p…
Statistical Analysis of Quantitative Cancer Imaging Data
Shariq Mohammed, Maria Masotti, Nathaniel Osher +2
Recent advances in types and extent of medical imaging technologies has led to proliferation of multimodal quantitative imaging data in cancer. Quantitative medical imaging data re…
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…
Probabilistic Learning of Treatment Trees in Cancer
Tsung-Hung Yao, Zhenke Wu, Karthik Bharath +2
Accurate identification of synergistic treatment combinations and their underlying biological mechanisms is critical across many disease domains, especially cancer. In translationa…