BNNR is a novel computational method, which utilizes Bounded Nuclear Norm Regularization algorithm to identify potential novel indications for known or new drugs. The code in this package implements Bounded Nuclear Norm Regularization (BNNR) for drug repositioning, which is implemented in Matlab2014a.
This work has been presented in ISMB/ECCB 2019 conference in an oral talk during July 21-25, Basel, Switzerland.
"Demo.m" demonstrates the experimental result on Fdataset by BNNR.
"BNNR.m" is the function of BNNR algorithm.
"svt.m" is the function of singular value thresholding operator.
Contact: If you have any questions or suggestions with the code, please let us know. Contact Mengyun Yang at mengyunyang@csu.edu.cn
Yang M, Luo H, Li Y, Wang J. Drug repositioning based on bounded nuclear norm regularization[J]. Bioinformatics, 2019, 35(14): i455-i463.
@article{Yang2019Drug,
title={Drug repositioning based on bounded nuclear norm regularization},
author={Yang, Mengyun and Luo, Huimin and Li, Yaohang and Wang, Jianxin},
volume={35},
number={14},
pages={i455--i463},
year={2019},
publisher={Oxford University Press}
}