LDAP: a web server for lncRNA-disease association prediction
2016; Oxford University Press; Volume: 33; Issue: 3 Linguagem: Inglês
10.1093/bioinformatics/btw639
ISSN1367-4811
AutoresWei Lan, Min Li, Kaijie Zhao, Jin Liu, Fang‐Xiang Wu, Yi Pan, Jianxin Wang,
Tópico(s)Plant and Fungal Interactions Research
ResumoIncreasing evidences have demonstrated that long noncoding RNAs (lncRNAs) play important roles in many human diseases. Therefore, predicting novel lncRNA-disease associations would contribute to dissect the complex mechanisms of disease pathogenesis. Some computational methods have been developed to infer lncRNA-disease associations. However, most of these methods infer lncRNA-disease associations only based on single data resource.In this paper, we propose a new computational method to predict lncRNA-disease associations by integrating multiple biological data resources. Then, we implement this method as a web server for lncRNA-disease association prediction (LDAP). The input of the LDAP server is the lncRNA sequence. The LDAP predicts potential lncRNA-disease associations by using a bagging SVM classifier based on lncRNA similarity and disease similarity.The web server is available at http://bioinformatics.csu.edu.cn/ldapjxwang@mail.csu.edu.cn.Supplementary data are available at Bioinformatics online.
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