2 citations · 2 across the 5 of their papers we have counts for
5 papers
Distribution-free screening of spatially variable genes in spatial transcriptomics
Changhu Wang, Qiyun Huang, Zihao Chen +2
Spatial transcriptomics (ST) technologies enable transcriptome-wide gene expression profiling while preserving spatial resolution, offering unprecedented opportunities to uncover c…
Feature screening for clustering analysis
Changhu Wang, Zihao Chen, Ruibin Xi
In this paper, we consider feature screening for ultrahigh dimensional clustering analyses. Based on the observation that the marginal distribution of any given feature is a mixtur…
Network Analysis of Count Data from Mixed Populations
Junjie Tang, Changhu Wang, Feiyi Xiao +1
In applications such as gene regulatory network analysis based on single-cell RNA sequencing data, samples often come from a mixture of different populations and each population ha…
Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell data
Junjie Tang, Changhu Wang, Feiyi Xiao +1
Gene regulatory network (GRN) refers to the complex network formed by regulatory interactions between genes in living cells. In this paper, we consider inferring GRNs in single cel…
A robust statistical method for Genome-wide association analysis of human copy number variation
Han Wang, Changhu Wang, Linjie Wu +1
Conducting genome-wide association studies (GWAS) in copy number variation (CNV) level is a field where few people involves and little statistical progresses have been achieved, tr…