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BioMed Research International
Volume 2015, Article ID 671950, 11 pages
http://dx.doi.org/10.1155/2015/671950
Research Article

Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model

1School of Information Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China
2Centers for Biomedical Engineering, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China

Received 18 June 2015; Revised 16 November 2015; Accepted 1 December 2015

Academic Editor: Graziano Pesole

Copyright © 2015 Ao Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Figure S1 -The ROC curve and AUC value LPIHN, PRINCE and RWR on the new dataset.

Figure S2 - Comparsion of AUC by LPIHN on different intervals .

lncRNAs are grouped into four equal intervals according to the different number of interactions. Then, AUC values of different intervals are displayed.

Table S1 - The top 10 ranked proteins for lncRNA RP4-665J23.1 and RP11-18I14.10.

Table S2 - Top candidate proteins predicted by LPIHN with reference support and their ranks predicted by PRINCE and RWR.

  1. Supplementary Material