LDAP：lncRNA 疾病关联预测的 Web 服务器。

LDAP: a web server for lncRNA-disease association prediction.

机构信息

School of Information Science and Engineering, Central South University, Changsha, China.

Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada.

出版信息

Bioinformatics. 2017 Feb 1;33(3):458-460. doi: 10.1093/bioinformatics/btw639.

DOI:10.1093/bioinformatics/btw639

PMID:28172495

Abstract

MOTIVATION

Increasing 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.

RESULTS

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.

AVAILABILITY AND IMPLEMENTATION

The web server is available at http://bioinformatics.csu.edu.cn/ldap

CONTACT

jxwang@mail.csu.edu.cn.

SUPPLIMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

越来越多的证据表明，长非编码 RNA（lncRNA）在许多人类疾病中发挥着重要作用。因此，预测新的 lncRNA-疾病关联将有助于剖析疾病发病机制的复杂机制。已经开发了一些计算方法来推断 lncRNA-疾病关联。然而，这些方法中的大多数仅基于单个数据资源推断 lncRNA-疾病关联。

结果

在本文中，我们提出了一种新的计算方法，通过整合多种生物数据资源来预测 lncRNA-疾病关联。然后，我们将其实现为一个 lncRNA-疾病关联预测（LDAP）的网络服务器。LDAP 服务器的输入是 lncRNA 序列。LDAP 通过基于 lncRNA 相似性和疾病相似性的袋装 SVM 分类器预测潜在的 lncRNA-疾病关联。