- This is code of paper:
Liguang Wang#, Yujia Wang#, Yi Fu, Yunge Gao, Jiawei Du, Chen Yang, and Jianxiao Liu*. “AFSBN: A Method of Artificial Fish Swarm Optimizing Bayesian Network for Epistasis Detection”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 18, no. 4 (2019): 1369-1383.
- Paper link: https://ieeexplore.ieee.org/document/8884123/
- Special thanks to Yang Guo and
bnlearn
.
hill-climbing.R
is the most important file. All other files (except forargSet.R
) are called here. It is based onhill-climbing
designed inbnlearn
pkg. So we keep the name.distance.R
is for distance calculation.follow.R
,prey.R
,swarm.R
are different behavior of fish.bulletin.R
is for saving and comparing the fish with the max score.argSet.R
is arguments we use.