11 citations · 33 across the 9 of their papers we have counts for
9 papers
A Bayesian Modified Ising Model for Identifying Spatially Variable Genes from Spatial Transcriptomics Data
Xi Jiang, Qiwei Li, Guanghua Xiao
A recent technology breakthrough in spatial molecular profiling has enabled the comprehensive molecular characterizations of single cells while preserving spatial information. It p…
Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images
Esteban Fernández Morales, Cong Zhang, Guanghua Xiao +2
With the advanced imaging technology, digital pathology imaging of tumor tissue slides is becoming a routine clinical procedure for cancer diagnosis. This process produces massive…
Bayesian Modeling of Spatial Molecular Profiling Data via Gaussian Process
Qiwei Li, Minzhe Zhang, Yang Xie +1
The location, timing, and abundance of gene expression (both mRNA and proteins) within a tissue define the molecular mechanisms of cell functions. Recent technology breakthroughs i…
Using Persistent Homology Topological Features to Characterize Medical Images: Case Studies on Lung and Brain Cancers
Chul Moon, Qiwei Li, Guanghua Xiao
Tumor shape is a key factor that affects tumor growth and metastasis. This paper proposes a topological feature computed by persistent homology to characterize tumor progression fr…
Bayesian Landmark-based Shape Analysis of Tumor Pathology Images
Cong Zhang, Guanghua Xiao, Chul Moon +2
Medical imaging is a form of technology that has revolutionized the medical field in the past century. In addition to radiology imaging of tumor tissues, digital pathology imaging,…
Bayesian Modeling of Microbiome Data for Differential Abundance Analysis
Qiwei Li, Shuang Jiang, Andrew Y. Koh +2
The advances of next-generation sequencing technology have accelerated study of the microbiome and stimulated the high throughput profiling of metagenomes. The large volume of sequ…
A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data
Shuang Jiang, Guanghua Xiao, Andrew Y. Koh +2
Microbiome `omics approaches can reveal intriguing relationships between the human microbiome and certain disease states. Along with the identification of specific bacteria taxa as…
ConvPath: A Software Tool for Lung Adenocarcinoma Digital Pathological Image Analysis Aided by Convolutional Neural Network
Shidan Wang, Tao Wang, Lin Yang +11
The spatial distributions of different types of cells could reveal a cancer cell growth pattern, its relationships with the tumor microenvironment and the immune response of the bo…
A Bayesian Mark Interaction Model for Analysis of Tumor Pathology Images
Qiwei Li, Xinlei Wang, Faming Liang +1
With the advance of imaging technology, digital pathology imaging of tumor tissue slides is becoming a routine clinical procedure for cancer diagnosis. This process produces massiv…