DisSetSim: an online system for calculating similarity between disease sets

• Published in: Journal of biomedical semantics Vol. 8; no. S1; pp. 28 - 25
• Main Authors: Hu, Yang, Zhao, Lingling, Liu, Zhiyan, Ju, Hong, Shi, Hongbo, Xu, Peigang, Wang, Yadong, Cheng, Liang
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 20.09.2017; BioMed Central; BMC
• Subjects: Acids; Analysis; Annotations; Computational Biology - methods; Disease; Disease - genetics; Disease control; Disease sets; Disease susceptibility; Disease-miRNA relationships; Diseases; Functional similarity; Genes; Genetic aspects; Genomes; Internet; Mathematical analysis; Measurement methods; Methods; MicroRNA; MicroRNAs - genetics; miRNA; On-line systems; Online Systems; Ontology; Physiological aspects; Proteins; Semantics; Similarity; Similarity score; Subject heading schemes; User-Computer Interface; China; Disease-miRNA relationships; Functional similarity; Similarity score; Disease sets
• ISSN: 2041-1480; 2041-1480
• DOI: 10.1186/s13326-017-0140-2

Functional similarity between molecules results in similar phenotypes, such as diseases. Therefore, it is an effective way to reveal the function of molecules based on their induced diseases. However, the lack of a tool for obtaining the similarity score of pair-wise disease sets (SSDS) limits this type of application. Here, we introduce DisSetSim, an online system to solve this problem in this article. Five state-of-the-art methods involving Resnik's, Lin's, Wang's, PSB, and SemFunSim methods were implemented to measure the similarity score of pair-wise diseases (SSD) first. And then "pair-wise-best pairs-average" (PWBPA) method was implemented to calculated the SSDS by the SSD. The system was applied for calculating the functional similarity of miRNAs based on their induced disease sets. The results were further used to predict potential disease-miRNA relationships. The high area under the receiver operating characteristic curve AUC (0.9296) based on leave-one-out cross validation shows that the PWBPA method achieves a high true positive rate and a low false positive rate. The system can be accessed from http://www.bio-annotation.cn:8080/DisSetSim/ .