Heter-LP is a novel semi-supervised heterogeneous label propagation algorithm. It integrates various types of data into a heterogeneous network and implements a label propagation algorithm to find new interactions. This method is a semi-supervised method without requiring negative training samples, and capable of utilizing information from unlabelled samples. Furthermore, it is applicable in the case of the new entity problem. Lastly, integration of different data types is used to improve the prediction accuracy.
For more details :
- M. Lotfi Shahreza, N. Ghadiri, S. R. Mousavi, J. Varshosaz, and J. R. Green. (2017) A review of network-based approaches to drug repositioning. Brief Bioinform.1-15
- M. Lotfi Shahreza, N. Ghadiri, S. R. Mousavi, J. Varshosaz, and J. R. Green. (2017) Heter-LP: A heterogeneous label propagation algorithm and its application in drug repositioning. Journal of Biomedical Informatics. 68:167-183
- chapter 18 of book: "Computational Methods for Drug Repurposing" ,springer.com, Biomedicine : Pharmaceutical Sciences / Technology named: Heter-LP: A heterogeneous label propagation method for drug repositioning.