Dong Wang Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

National Center for Toxicological Research

faculty

9 h-index 23 pubs 237 cited

Research Areas

Bioinformatics and Genomic Networks Cancer Genomics and Diagnostics Pharmacological Effects and Toxicity Studies Cancer-related molecular mechanisms research Genomics and Phylogenetic Studies Advanced Neural Network Applications Meta-analysis and systematic reviews

Links

ORCID Lab Website

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OverviewAI-generated summary

Dong Wang's research focuses on the application of statistical methods and computational techniques to analyze complex biological and medical data. His work has involved developing and applying methods for exploring spontaneous adverse event reporting databases to identify drug-host factor interactions. Wang has also contributed to the analysis of genomic data, including the assessment of cancer panels for detecting small variants and the development of gene signatures for survival prediction in ovarian cancer. His research extends to predicting drug-induced cardiotoxicity using induced pluripotent stem cell-derived cardiomyocytes and investigating the clinical relevance of somatic mutations in lung adenocarcinoma. Wang has also examined tumor mutational burden estimation through simulation analysis. He holds a h-index of 9 with 23 total publications and 237 citations.

Metrics

  • h-index: 9
  • Publications: 23
  • Citations: 237

Selected Publications

  • The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicity (2025) DOI
  • Predicting oncology drug-induced cardiotoxicity with donor-specific iPSC-CMs—a proof-of-concept study with doxorubicin (2024) DOI
  • Assessments of tumor mutational burden estimation by targeted panel sequencing: A comprehensive simulation analysis (2023) DOI
  • The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study (2023) DOI
  • Identifying Vulnerabilities to NSAID Adverse Events in the US Population: An Analysis of Pre-Existing Conditions and Sex (2023) DOI
  • Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions (2023) DOI
  • A targeted simulation‐extrapolation method for evaluating biomarkers based on new technologies in precision medicine (2021) DOI
  • Medical Information Mart for Intensive Care: A Foundation for the Fusion of Artificial Intelligence and Real-World Data (2021) DOI
  • A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency (2021) DOI

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