Author

Gang Xu

University of Nevada, Las Vegas

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Genetics· 2 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:differential expression· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2

Frequent Co-Authors

Zuoheng WangiD· 3 shared Amei AmeiiD· 2 shared Edwin C. T. OhiD· 2 shared Linchuan Shen· 2 shared Yunqing LiuiD· 2 shared Annabel SeniD· 1 shared April PruittiD· 1 shared Bowen LiuiD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersGenetics

Zuoheng WangORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Convergent and divergent phenotypic impacts of estradiol on neurodevelopmental disorder risk genes

April Pruitt, Liang Yang, Seoyeon Lee, Novin Balafkan, Shilin Gao, Carina Seah, Yi Dai, Elizabeth Davidson, Suha Khan, Annabel Sen, Jenny Liu, Isabel Wood, Gang Xu, Xiayuan Huang, Marina Carlson, , Kristen Brennand

The paper evaluates estradiol's effects on ASD/NDD genes using human neurons and zebrafish, finding both convergent transcriptomic effects and gene-specific cellular and behavioral rescue.

bioRxiv · Sep 19, 2026 · PreprintGenomics

Molecular architecture of the tumor microenvironment caused by BRCA1 and BRCA2 somatic mutations in lung adenocarcinoma

Gaoming Liao, Xinbin Yang, Qi Liu, Shufeng Nan, Y. L. Liu, Jinwei Li, S. Joseph Huang, Ning Wang, Xionghai Qin, Gang Xu

This study examines BRCA1/2 mutations in lung adenocarcinoma, finding distinct immune and transcriptional patterns linked to different clinical outcomes and potential therapeutic targets.

bioRxiv · Apr 11, 2026 · PreprintCancer Biology

Retrospective varying coefficient association analysis of longitudinal binary traits: application to the identification of genetic loci associated with hypertension

Gang Xu, Amei Amei, Weimiao Wu, Yunqing Liu, Linchuan Shen, Edwin C. T. Oh, Zuoheng Wang

This study introduces RVMMAT, a method for detecting time-varying genetic effects on longitudinal binary traits, and applies it to identify hypertension-associated loci.

The Annals of Applied Statistics · Jan 31, 2024Peer-reviewedGenetics

Detection of interactions between genetic marker sets and environment in a genome-wide study of hypertension

Linchuan Shen, Amei Amei, Bowen Liu, Yunqing Liu, Gang Xu, Edwin C. T. Oh, Zuoheng Wang

This study introduces two statistical tests to detect gene-environment interactions in hypertension, identifying two genes interacting with alcohol use.

bioRxiv · May 28, 2023 · PreprintGenetics