activity
20182021
most citedRCRnorm: An integrated system of random-coefficient hierarchical regression models for normalizing NanoString nCounter data

16 citations · 29 across the 5 of their papers we have counts for

collaborators

9 papers

stat.AP2021

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…

stat.AP2020

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…

stat.AP20203 cited

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…

stat.AP20203 cited

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,…

stat.ME2020

Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization

Fangting Zhou, Kejun He, Qiwei Li +2

High-throughput sequencing technology provides unprecedented opportunities to quantitatively explore human gut microbiome and its relation to diseases. Microbiome data are composit…

stat.ME201916 cited

RCRnorm: An integrated system of random-coefficient hierarchical regression models for normalizing NanoString nCounter data

Gaoxiang Jia, Xinlei Wang, Qiwei Li +4

Formalin-fixed paraffin-embedded (FFPE) samples have great potential for biomarker discovery, retrospective studies and diagnosis or prognosis of diseases. Their application, howev…