Match tier
Likely match
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-16
J
Joshua Xu
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
High Impact
Researcher
Also affiliated: University of Sydney (2016–2022); United States Food and Drug Administration (2008–2025); University Health Network (2022); The University of Melbourne (2014); Duke University (2014); Fudan University (2022); Royal North Shore Hospital (2016–2022); Government of the United States of America (2021); Princess Margaret Cancer Centre (2022); Missouri Department of Agriculture (2024–2025); Regenxbio (United States) (2024); University of Michigan–Flint (2016); Cancer Research And Biostatistics (2024); Shanghai Institute of Measurement and Testing Technology (2023); Food and Drug Administration (2016–2024); State Key Laboratory of Genetic Engineering (2022); The Ohio State University (2013); ICF International (United States) (2008–2012); McMaster University (2021–2022)
Faculty Researcher
32 h-index
198 pubs
6,023 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Joshua Xu's research focuses on the analytical validity and quality control of high-throughput molecular profiling technologies, particularly in the context of precision medicine and toxicology. He has investigated methods for integrating multi-omics data, developing ratio-based quantitative profiling techniques and reference materials to improve the accuracy and reliability of transcriptomic and genomic data. His work addresses challenges such as batch effects in large-scale studies and the accurate resolution of structural variants for clinical diagnosis.
Xu has also explored the application of artificial intelligence and machine learning in predictive toxicology, examining the trade-offs between predictivity and explainability in models trained on datasets like Tox21. His research contributes to the development of verified genomic reference samples for assessing the performance of cancer panels and evaluating circulating tumor DNA sequencing assays for precision oncology.
With 198 publications and an h-index of 32, Xu is recognized as a highly cited researcher. His collaborations include numerous shared publications with researchers at the National Center for Toxicological Research, such as Leihong Wu, Weida Tong, and Binsheng Gong, as well as Donald J. Johann at the University of Arkansas for Medical Sciences.
Metrics
- h-index: 32
- Publications: 198
- Citations: 6,023
Selected Publications
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Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations (2025)
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Federated learning: a privacy-preserving approach to data-centric regulatory cooperation (2025)
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Zika and dengue viruses differentially modulate host mRNA processing factors defining its virulence (2025)
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Biomarkers of Neurotoxicity and Disease (2025)
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Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel (2025)
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Developing a Charlson Comorbidity Index for the American Indian Population Using the Epidemiologic Data from the Strong Heart Study (2024)
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Enhancing pharmacogenomic data accessibility and drug safety with large language models: a case study with Llama3.1 (2024)
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Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing (2024)
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Description and Validation of a Novel AI Tool, LabelComp, for the Identification of Adverse Event Changes in FDA Labeling (2024)
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Assessing the performance of large language models in literature screening for pharmacovigilance: a comparative study (2024)
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Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost (2024)
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PERform: assessing model performance with predictivity and explainability readiness formula (2024)
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Towards accurate indel calling for oncopanel sequencing through an international pipeline competition at precisionFDA (2024)
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A framework enabling LLMs into regulatory environment for transparency and trustworthiness and its application to drug labeling document (2024)
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Extend the benchmarking indel set by manual review using the individual cell line sequencing data from the Sequencing Quality Control 2 (SEQC2) project (2024)
Collaboration Network
Top Collaborators
Weida Tong
United States Food and Drug Administration
27 shared publications
In database
- Towards accurate and reliable resolution of structural variants for clinical diagnosis
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science
Showing 5 of 27 shared publications
Leihong Wu
National Center for Toxicological Research
15 shared publications
In database
- Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets
- Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science
- Advancing NGS quality control to enable measurement of actionable mutations in circulating tumor DNA
- A Weakly Supervised Deep Learning Framework for Whole Slide Classification to Facilitate Digital Pathology in Animal Study
- RxBERT: Enhancing drug labeling text mining and analysis with AI language modeling
Showing 5 of 15 shared publications
Binsheng Gong
National Center for Toxicological Research
13 shared publications
In database
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples
- CarcSeq Measurement of Rat Mammary Cancer Driver Mutations and Relation to Spontaneous Mammary Neoplasia
- Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity
Showing 5 of 13 shared publications
Rebecca Kusko
11 shared publications
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Advancing NGS quality control to enable measurement of actionable mutations in circulating tumor DNA
- Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples
- FDA-led consortium studies advance quality control of targeted next generation sequencing assays for precision oncology
Showing 5 of 11 shared publications
Wanwan Hou
Fudan University (CN)
10 shared publications
- Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variants calling performance
Showing 5 of 10 shared publications
Ying Yu
State Key Laboratory of Genetic Engineering
9 shared publications
- Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variants calling performance
Showing 5 of 9 shared publications
Jingcheng Yang
Fudan University (CN)
9 shared publications
- Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variants calling performance
Showing 5 of 9 shared publications
Luyao Ren
Fudan University (CN)
9 shared publications
- Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variants calling performance
Showing 5 of 9 shared publications
Wendell Jones
IQVIA (United States) (US)
8 shared publications
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Advancing NGS quality control to enable measurement of actionable mutations in circulating tumor DNA
- Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
Showing 5 of 8 shared publications
Yaqing Liu
Fudan University (CN)
8 shared publications
- Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Author Correction: Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
Showing 5 of 8 shared publications
Zehui Cao
State Key Laboratory of Genetic Engineering
8 shared publications
- Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Author Correction: Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet RNA reference materials and ratio-based reference datasets for reliable transcriptomic profiling
Showing 5 of 8 shared publications
Natalia Novoradovskaya
Agilent Technologies (United States) (US)
7 shared publications
- Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology
- A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency
- Advancing NGS quality control to enable measurement of actionable mutations in circulating tumor DNA
- Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples
- Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing
Showing 5 of 7 shared publications
Tim R. Mercer
The University of Queensland (AU)
7 shared publications
- Towards accurate and reliable resolution of structural variants for clinical diagnosis
- The Sequencing Quality Control 2 study: establishing community standards for sequencing in precision medicine
- Advancing NGS quality control to enable measurement of actionable mutations in circulating tumor DNA
- Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity
- Using synthetic chromosome controls to evaluate the sequencing of difficult regions within the human genome
Showing 5 of 7 shared publications
Lianhua Dong
National Institute of Metrology (CN)
7 shared publications
- Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Author Correction: Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
Showing 5 of 7 shared publications
Naixin Zhang
Fudan University (CN)
7 shared publications
- Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method
- Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance
- Quartet DNA reference materials and datasets for comprehensively evaluating germline variants calling performance
- Author Correction: Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling
Showing 5 of 7 shared publications
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