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Tiffany M. Tang
Tiffany M. Tang
Department of Applied and Computational Mathematics and Statistics, University of Notre Dame
Verified email at nd.edu - Homepage
Title
Cited by
Cited by
Year
Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States
N Altieri, RL Barter, J Duncan, R Dwivedi, K Kumbier, X Li, R Netzorg, ...
Harvard Data Science Review, 2021
872021
Integrated principal components analysis
TM Tang, GI Allen
Journal of Machine Learning Research 22 (198), 1-71, 2021
512021
A blood-based metabolomic signature predictive of risk for pancreatic cancer
E Irajizad, A Kenney, T Tang, J Vykoukal, R Wu, E Murage, JB Dennison, ...
Cell Reports Medicine 4 (9), 2023
432023
imodels: a python package for fitting interpretable models
C Singh, K Nasseri, YS Tan, T Tang, B Yu
Journal of Open Source Software 6 (61), 3192, 2021
322021
MDI+: A Flexible Random Forest-Based Feature Importance Framework
A Agarwal, AM Kenney, YS Tan, TM Tang, B Yu
arXiv preprint arXiv:2307.01932, 2023
262023
Feature selection for data integration with mixed multiview data
Y Baker, TM Tang, GI Allen
The Annals of Applied Statistics 14 (4), 1676-1698, 2020
232020
Epistasis regulates genetic control of cardiac hypertrophy
Q Wang, TM Tang, M Youlton, CS Weldy, AM Kenney, O Ronen, ...
Nature Cardiovascular Research 4, 740-760, 2025
162025
simChef: High-quality data science simulations in R
J Duncan, T Tang, CF Elliott, P Boileau, B Yu
Journal of Open Source Software 9 (95), 6156, 2024
122024
A stability-driven protocol for drug response interpretable prediction (staDRIP)
X Li, TM Tang, X Wang, JPA Kocher, B Yu
arXiv preprint arXiv:2011.06593, 2020
82020
Designing a Data Science Simulation with ℳℰℛℐ𝒯𝒮: A Primer
CF Elliott, JPC Duncan, TM Tang, M Behr, K Kumbier, B Yu
Journal of Computational and Graphical Statistics, 1-16, 2025
52025
Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
M Huang, TM Tang, AM Kenney
arXiv preprint arXiv:2502.07275, 2025
42025
Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices
A Chang, TM Tang, TM Zikry, GI Allen
arXiv preprint arXiv:2506.04553, 2025
22025
A simplified MyProstateScore2. 0 for high-grade prostate cancer
TM Tang, Y Zhang, AM Kenney, C Xie, L Xiao, J Siddiqui, S Srivastava, ...
Cancer Biomarkers 42 (1), 18758592241308755, 2025
22025
Consensus dimension reduction via multi-view learning
B An, TM Tang
arXiv preprint arXiv:2512.15802, 2025
12025
Interpretable Network-assisted Random Forest+
TM Tang, E Levina, J Zhu
arXiv preprint arXiv:2509.15611, 2025
12025
Estimating Fe and Mg Abundances in the Milky Way Dwarf Galaxies Using Subaru/HSC and DEIMOS
J Hong, EN Kirby, TM Tang, M Chiba, Y Komiyama, LE Henderson, ...
arXiv preprint arXiv:2506.15952, 2025
12025
Local MDI+: Local Feature Importances for Tree-Based Models
Z Liang, ZT Rewolinski, A Agarwal, TM Tang, B Yu
arXiv preprint arXiv:2506.08928, 2025
12025
Estimating Consensus Ideal Points Using Multi-Source Data
M Meisels, M Huang, TM Tang
arXiv preprint arXiv:2601.05213, 2026
2026
Using machine learning algorithms to optimize treatment with high-cost biologics in a national cohort of patients with inflammatory bowel disease
JK Hou, TM Tang, S Sansgiry, T Van, PA Richardson, C Pham, ...
JAMIA open 8 (6), ooaf162, 2025
2025
Top- Feature Importance Ranking
Y Chen, T Tang, G Allen
arXiv preprint arXiv:2509.15420, 2025
2025
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Articles 1–20