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Tiffany M. Tang
Tiffany M. Tang
Department of Statistics, University of Michigan
Verified email at berkeley.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, ...
PubPub, 2021
782021
Integrated principal components analysis
TM Tang, GI Allen
Journal of Machine Learning Research 22 (198), 1-71, 2021
272021
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
212021
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
192020
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
112023
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
62020
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
52023
Designing a Data Science simulation with MERITS: A Primer
CF Elliott, J Duncan, TM Tang, M Behr, K Kumbier, B Yu
arXiv preprint arXiv:2403.08971, 2024
12024
Epistasis regulates genetic control of cardiac hypertrophy
Q Wang, TM Tang, N Youlton, CS Weldy, AM Kenney, O Ronen, ...
medRxiv, 2023.11. 06.23297858, 2023
12023
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
2024
Model Generalizability Considerations in Development and Evaluation of SaMD
N Leng, Y Lu, J Fridlyand, T Tang, NT Qi, Y Wei, R Rojo, N Simon, ...
2024
The Future will be Different than Today: Model Evaluation Considerations when Developing Translational Clinical Biomarker
Y Lu, J Fridlyand, T Tang, T Qi, N Simon, N Leng
arXiv preprint arXiv:2107.08787, 2021
2021
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