9 citations · 21 across the 8 of their papers we have counts for
5 papers · 1 filter
Cluster Analysis with Resampling for Validation and Exploration (CARVE)
Kai R. Wycik, Tiffany M. Tang, Tarek M. Zikry +1
Clustering is widely used across the sciences as the foundation for downstream data-driven scientific discoveries. However, clustering results are highly sensitive to the choice of…
Consensus dimension reduction via multi-view learning
Bingxue An, Tiffany M. Tang
A plethora of dimension reduction methods have been developed to visualize high-dimensional data in low dimensions. However, different dimension reduction methods often output diff…
Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability
Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan +2
Random forests (RFs) are among the most popular supervised learning algorithms due to their nonlinear flexibility and ease-of-use. However, as black box models, they can only be in…
Feature Selection for Data Integration with Mixed Multi-view Data
Yulia Baker, Tiffany M. Tang, Genevera I. Allen
Data integration methods that analyze multiple sources of data simultaneously can often provide more holistic insights than can separate inquiries of each data source. Motivated by…
Integrated Principal Components Analysis
Tiffany M. Tang, Genevera I. Allen
Data integration, or the strategic analysis of multiple sources of data simultaneously, can often lead to discoveries that may be hidden in individualistic analyses of a single dat…