TransRF: A Transfer Learning Approach Based on Random Forest

This repository contains the detailed simulation settings and the source code for a transfer learning approach developed in Gu et al. titled A transfer learning approach based on random forest with application to breast cancer prediction in underrepresented populations, a manuscript submitted for consideration in Pacific Symposium on Biocomputing © 2023 World Scientific Publishing Co., Singapore, http://psb.stanford.edu/

• Supplementary Material: detailed simulation settings used in the manuscript

• R package: source code to implement TransRF with example data