Wei Vivian Li

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Assistant Professor

University of California, Riverside

United States

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About

Wei Vivian Li is an Assistant Professor at the University of California, Riverside, USA. Her research focuses on RNA-Seq data analysis, gene expression during Chlamydia infections, and metabolomic analyses associated with gut health. Recent publications include studies on transcriptomic activation in Chlamydia trachomatis and methods for analyzing single-cell gene expression data.

Recent Grants

Grant: Close

Novel Statistical Methods for Multiscale Analysis of Single-cell Transcriptomes

Open Date: 2021-09-01

Close Date: 2026-06-30

Grant: Close

Multimodal profiling of neurons in 3D human cortical organoids using patch-seq

Open Date: 2021-07-01

Close Date: 2023-06-30

Articles (20)

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2021

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2021

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2021

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2021

Collaborators (4)

Jingyi Jessica Li

Professor

University of California, Los Angeles

UNITED STATES

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Li Cai

PhD/Professor

Rutgers University

UNITED STATES

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Shan Yu

Assistant Professor

University of Virginia

UNITED STATES

View details

Guangming Zhong

Professor

University of Texas Health Science Center at San Antonio

UNITED STATES

View details

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Wei Vivian Li

Research Interests

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About

Recent Grants

Articles (20)

spVC for the detection and interpretation of spatial gene expression variation

Expression activation of over 70% of Chlamydia trachomatis genes during the first hour of infection

Analyzing RNA-Seq data from Chlamydia with super broad transcriptomic activation: challenges, solutions, and implications for other systems

Lactobacillus rhamnosus GG Stimulates Dietary Tryptophan-Dependent Production of Barrier-Protecting Methylnicotinamide

Metabolomic and Transcriptomic Correlative Analyses in Germ-Free Mice Link Lacticaseibacillus rhamnosus GG-Associated Metabolites to Host Intestinal Fatty Acid Metabolism and β-Oxidation

Requirement of GrgA for Chlamydia infectious progeny production, optimal growth, and efficient plasmid maintenance

scBiG for representation learning of single-cell gene expression data based on bipartite graph embedding

Author Correction: scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured (Genome Biology, (2021), 22, 1, (163), 10.1186/s13059-021-02367-2)

Benchmarking cell-type clustering methods for spatially resolved transcriptomics data

Differential variability analysis of single-cell gene expression data

Simulating Single-Cell Gene Expression Count Data with Preserved Gene Correlations by scDesign2

Phitest for analyzing the homogeneity of single-cell populations

scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data

A computational pipeline for functional gene discovery

MAAPER: model-based analysis of alternative polyadenylation using 3′ end-linked reads

Maternal cecal microbiota transfer rescues early-life antibiotic-induced enhancement of type 1 diabetes in mice

Publisher Correction: scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured (Genome Biology, (2021), 22, 1, (163), 10.1186/s13059-021-02367-2)

Selecting gene features for unsupervised analysis of single-cell gene expression data

mbImpute: an accurate and robust imputation method for microbiome data

scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured

Collaborators (4)

Jingyi Jessica Li

Li Cai

Shan Yu

Guangming Zhong

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