dingfengqian / isss_fcm

ISSS_FCM

This is a Python implementation of the paper: Structured Sparsity Learning for Large-scale Fuzzy Cognitive Maps

Requirements

python 3.7

numpy 1.14.0

pandas 0.25.0

Instructions

generate_data :

generate sysnthetic data according to

"Liu J, Chi Y, Zhu C. A Dynamic Multiagent Genetic Algorithm for Gene Regulatory Network Reconstruction Based on Fuzzy Cognitive Maps. IEEE Transactions on Fuzzy Systems, 2016, 24(2):419-431."

dream_data :

real-world data for experiment. For more data can found in:

"Prill, R. J., Marbach, D., Saez-Rodriguez, J., Sorger, P. K., Alexopoulos, L. G., Xue, X., ... & Stolovitzky, G. (2010). Towards a rigorous assessment of systems biology models: the DREAM3 challenges. PloS one, 5(2), e9202."

"Greenfield, A., Madar, A., Ostrer, H., & Bonneau, R. (2010). DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models. PloS one, 5(10), e13397."

isss :

the implement of structured sparsity learning algorhtim.

run :

run the program.