Dabao Zhang
Mathematics · Purdue University West Lafayette
Publications
69
Citations
2,526
Est. group size
~3
Recurring co-author estimate
Active years
23
Publishing since 2004
Dabao Zhang works at the intersection of statistics and biological/genomic data analysis, developing statistical methods for problems such as gene regulatory network inference, survival analysis, risk modeling, and dimension reduction. Much of the work applies these methods to biomedical questions, including cancer genomics, metabolomics, and autism-related data, as well as some machine learning tools like gradient boosting interpretability. The research combines theoretical statistical development with applied genomics and biomedical data analysis.
Publication output has grown notably in the last few years, rising from about 1-3 papers per year in the mid-2010s to 5-7 per year by 2024-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Structure-Aware Dynamic Fusion with Modality Balance for Multimodal KGC
Lecture notes in computer science · 2026
- qshap: Fast Calculation of Feature Contributions in Boosting Trees
2026
- Abstract 6868: Understanding molecular mechanisms of prostate cancer via transcriptome-wide causal gene regulatory networks.
Cancer Research · 2026
- Study on the evolution of discharge times on electrical contact properties of Ag-V2AlC composite material
Frontiers in Materials · 2025
- Prediction Interval Transfer Learning for Linear Regression Using an Empirical Bayes Approach
Stat · 2025
- Exploring Massive Risk Factors of Categorical Outcomes via Supervised Dimension Reduction
Journal of Data Science · 2025
- Characterizing Autism Spectrum Disorder in the All of Us Research Program
medRxiv · 2025
- Fast Calculation of Feature Contributions in Boosting Trees
PubMed Central · 2025
- Fast Calculation of Feature Contributions in Boosting Trees.
PubMed · 2025
- An interpretable lightweight deep network with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si102.svg" display="inline" id="d1e1781"><mml:mrow><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mn>0</mml:mn><mml:mo><</mml:mo><mml:mi>p</mml:mi><mml:mo><</mml:mo><mml:mn>1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math> model-driven for single image super-resolution
Neurocomputing · 2024
- Modeling blood metabolite homeostatic levels reduces sample heterogeneity across cohorts
Proceedings of the National Academy of Sciences · 2024
- Refining Kaplan-Meier Estimation with the Generalized Pareto Model for Survival Analysis
SSRN Electronic Journal · 2024
- Abstract 6217: Differential genome-wide gene regulatory networks for lung cancer
Cancer Research · 2024
- Uniform Inference for Central and Tail Distributions with Censored Data
SSRN Electronic Journal · 2024
- Coefficients of Determination for Mixed-Effects Models
Journal of Agricultural Biological and Environmental Statistics · 2022
- arXiv (Cornell University)×3
- Scientific Reports×2
- SSRN Electronic Journal×2
- Cancer Research×2
- The American Statistician×1
- Anindya Bhadra
Mathematics · Purdue University West Lafayette
- Jun Xie
Mathematics · Purdue University West Lafayette
- Jie Hu
Mathematics · The Ohio State University
- Brandon Koch
Mathematics · The Ohio State University
- Anirban Dasgupta
Mathematics · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile