Search Results for author: Tiffany M. Tang

Found 2 papers, 1 papers with code

MDI+: A Flexible Random Forest-Based Feature Importance Framework

2 code implementations • 4 Jul 2023 • Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan, Tiffany M. Tang, Bin Yu

We show that the MDI for a feature $X_k$ in each tree in an RF is equivalent to the unnormalized $R^2$ value in a linear regression of the response on the collection of decision stumps that split on $X_k$.

Drug Response Prediction Feature Importance +1

1,303

Paper
Code

Feature Selection for Data Integration with Mixed Multi-view Data

no code implementations • 27 Mar 2019 • Yulia Baker, Tiffany M. Tang, Genevera I. Allen

B-RAIL serves as a versatile data integration method for sparse regression and graph selection, and we demonstrate the effectiveness of B-RAIL through extensive simulations and a case study to infer the ovarian cancer gene regulatory network.

Data Integration feature selection

Paper
Add Code

Cannot find the paper you are looking for? You can Submit a new open access paper.