ShuhuaGao / rfBFE

Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension

rfBFE

Code for the ICCA paper: Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension

How to run

• time_benchmark.py: measure the running time of three methods
• random_sampling_test.py: case 2 in the paper
• case3_differentiation_BFE_icca.py: case 3 in the paper

Citation

Gao, Shuhua, Cheng Xiang, Changkai Sun, Kairong Qin, and Tong Heng Lee. "Efficient Boolean modeling of gene regulatory networks via random forest based feature selection and best-fit extension." In 2018 IEEE 14th International Conference on Control and Automation (ICCA), pp. 1076-1081. IEEE, 2018.