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FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs

机译：FCMDAP：使用MiRNA系列和集群信息来提高疾病相关MiRNA的预测准确性

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Background: Biological experiments have confirmed the association between miRNAs and various diseases. However, such experiments are costly and time consuming. Computational methods help select potential disease-related miRNAs to improve the efficiency of biological experiments.Methods: In this work, we develop a novel method using multiple types of data to calculate miRNA and disease similarity based on mutual information, and add miRNA family and cluster information to predict human disease-related miRNAs (FCMDAP). This method not only depends on known miRNA-diseases associations but also accurately measures miRNA and disease similarity and resolves the problem of overestimation. FCMDAP uses the k most similar neighbor recommendation algorithm to predirt the association score between miRNA and disease. Information about miRNA cluster is also used to improve prediction accuracy.Result: FCMDAP achieves an average AUC of 0.9165 based on leave-one-out cross validation. Results confirm the 100, 98 and 96% of the top 50 predictedmiRNAs reported in case studies on colorectal, lung, and pancreatic neoplasms. FCMDAP also exhibits satisfactory performance in predicting diseases without any related miRNAs and miRNAs without any related diseases.Conclusions: In this study, we presenta computational method FCMDAP to improve the prediction accuracy of disease related miRNAs. FCMDAP could be an effective tool for further biological experiments.
机译：背景：生物实验已经证实了miRNA和各种疾病之间的关联。然而，这种实验是昂贵且耗时的。计算方法有助于选择与潜在的疾病相关的miRNA来提高生物实验的效率。在这项工作中，我们使用多种类型的数据开发一种新的方法来基于相互信息计算miRNA和疾病相似性，并添加miRNA系列和群集预测人类疾病相关miRNA（FCMDAP）的信息。这种方法不仅取决于已知的miRNA疾病关联，而且还准确测量miRNA和疾病相似性并解决了高估的问题。 FCMDAP使用K最相似的邻居推荐算法来预先推动miRNA和疾病之间的关联分数。关于MiRNA群集的信息还用于提高预测精度。结果：FCMDAP基于休假交叉验证实现0.9165的平均AUC。结果证实，在结直肠，肺和胰腺肿瘤的情况下报告的前50个预测脑膜的100,98和96％。 FCMDAP还表现出令人满意的性能，在没有任何相关的疾病的情况下预测没有任何相关的miRNA和miRNA的疾病。结论：在本研究中，我们介绍了计算方法FCMDAP提高了疾病相关miRNA的预测准确性。 FCMDAP可能是进一步生物实验的有效工具。

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