Author

Chuwen Liu

University of North Carolina at Chapel HillORCID 0009-0008-7939-6744Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Xiaojing ZhengiD· 2 shared Apoena Aguiar RibeiroiD· 1 shared Bridget M. LiniD· 1 shared Bryce DuncaniD· 1 shared Camille CampbelliD· 1 shared Catherine M. O’ConnelliD· 1 shared Di WuiD· 1 shared Fei ZouiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersImmunology

Xiaojing ZhengORCID

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3 papers

Recent·Most cited

ImmunologyInfection and ImmunityPeer-reviewedMay 5, 2026

Genetic diversity of Collaborative Cross mice enables the establishment of a novel Chlamydia muridarum female genital tract infection model

Toni L. Darville, Jenna Girardi, Taylor B. Poston…·Xiaojing Zheng

This study uses Collaborative Cross mice to identify host genetic factors influencing Chlamydia muridarum infection outcomes, revealing distinct genetic pathways for bacterial burden and pathology.

DOI 10.1128/iai.00746-25

mousebulk RNA-seq

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GeneticsbioRxivPreprintSep 30, 2024

Evaluating Cross-Platform Batch Correction Methods for Integrated Microarray and RNA-seq Data Analysis

Xuejun Sun, Yu Zhang, Chuwen Liu…·Fei Zou

This study evaluates batch correction methods for integrating microarray and RNA-seq data, finding that limma provides the best balance of Type I error control and power for differential expression analysis.

3 citations

bulk RNA-seqDNA methylation

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BioinformaticsbioRxivPreprintJan 30, 2023

BZINB model-based pathway analysis and module identification facilitates integration of microbiome and metabolome data

Bridget M. Lin, Hunyong Cho, Chuwen Liu…·Di Wu

The paper introduces a BZINB model-based method for integrating microbiome and metabolome data, showing improved accuracy in identifying correlations compared to traditional methods.

1 citation

humanmetagenomics

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