WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.
WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.
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WBSMDA：miRNA 疾病关联预测的评分内和评分之间
DOI：
10.1038/srep21106
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发表时间：
2016-02-16
影响因子：
4.6
通讯作者：
Dai Q
中科院分区：
文献类型：
--
作者：
Chen X;Yan CC;Zhang X;You ZH;Deng L;Liu Y;Zhang Y;Dai Q
越来越多的证据表明microRNAs（miRNAs）与人类多种复杂疾病的发生、发展有着密切的关系。然而，miRNAs在多种生物学过程或各种疾病中的作用及其潜在的分子机制尚未完全了解。通过整合各种异质性生物数据集来预测潜在的miRNA-疾病关联对于生物医学研究具有重要意义。计算方法可以在短时间内获得潜在的miRNA与疾病的关联，从而显著减少实验时间和成本。考虑到以往计算方法的局限性，我们开发了用于预测与各种复杂疾病相关的潜在miRNA的内与间评分模型（WBSMDA）。WBSMDA可应用于没有任何已知相关miRNAs的疾病。基于留一法交叉验证的AUC为0.8031，证明了其可靠的性能。WBSMDA进一步应用于结肠肿瘤、前列腺肿瘤和淋巴瘤，以鉴定其潜在相关的miRNA。结果，这三种疾病的前50个预测列表中预测的miRNA-疾病对分别有90%、84%和80%被最近的实验文献证实。预计WBSMDA将成为潜在的miRNA-疾病关联鉴定的有用资源。
Increasing evidences have indicated that microRNAs (miRNAs) are functionally associated with the development and progression of various complex human diseases. However, the roles of miRNAs in multiple biological processes or various diseases and their underlying molecular mechanisms still have not been fully understood yet. Predicting potential miRNA-disease associations by integrating various heterogeneous biological datasets is of great significance to the biomedical research. Computational methods could obtain potential miRNA-disease associations in a short time, which significantly reduce the experimental time and cost. Considering the limitations in previous computational methods, we developed the model of Within and Between Score for MiRNA-Disease Association prediction (WBSMDA) to predict potential miRNAs associated with various complex diseases. WBSMDA could be applied to the diseases without any known related miRNAs. The AUC of 0.8031 based on Leave-one-out cross validation has demonstrated its reliable performance. WBSMDA was further applied to Colon Neoplasms, Prostate Neoplasms and Lymphoma for the identification of their potential related miRNAs. As a result, 90%, 84% and 80% of predicted miRNA-disease pairs in the top 50 prediction list for these three diseases have been confirmed by recent experimental literatures, respectively. It is anticipated that WBSMDA would be a useful resource for potential miRNA-disease association identification.