BACKGROUND Multidimensional data mining from an integrated environment of different data sources is frequently performed in computational system biology. The molecular mechanism from the analysis of a complex network of gene-miRNA can aid to diagnosis and treatment of associated diseases. METHODS In this work, we mainly focus on finding inflammatory bowel disease (IBD) associated microRNAs (miRNAs) by biclustering the miRNA-target interactions aided by known IBD risk genes and their associated miRNAs collected from several sources. We rank different miRNAs by attributing to the dataset size and connectivity of IBD associated genes in the miRNA regulatory modules from biclusters. We search the association of some top-ranking miRNAs to IBD related diseases. We also search the network of discovered miRNAs to different diseases and evaluate the similarity of those diseases to IBD. RESULTS According to different literature, our results show the significance of top-ranking miRNA to IBD or related diseases. The ratio analysis supports our ranking method where the top 20 miRNA has approximately tenfold attachment to IBD genes. From disease-associated miRNA network analysis we found that 71% of different diseases attached to those miRNAs show more than 0.75 similarity scores to IBD. CONCLUSION We successfully identify some miRNAs related to IBD where the scoring formula and disease-associated network analysis show the significance of our method. This method can be a promising approach for isolating miRNAs for similar types of diseases.

中文翻译：

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使用新型二分聚类方法发现炎症性肠病相关 miRNA。


背景技术在计算系统生物学中经常执行来自不同数据源的集成环境的多维数据挖掘。通过分析基因-miRNA 的复杂网络得出的分子机制有助于相关疾病的诊断和治疗。方法在这项工作中，我们主要关注通过对已知 IBD 风险基因及其从多个来源收集的相关 miRNA 辅助的 miRNA 靶点相互作用进行双聚类来寻找炎症性肠病 (IBD) 相关 microRNA (miRNA)。我们通过归因双簇中 miRNA 调控模块中 IBD 相关基因的数据集大小和连接性，对不同的 miRNA 进行排名。我们搜索了一些顶级 miRNA 与 IBD 相关疾病的关联。我们还搜索了已发现的不同疾病的 miRNA 网络，并评估这些疾病与 IBD 的相似性。结果 根据不同的文献，我们的结果显示了顶级 miRNA 对 IBD 或相关疾病的重要性。比率分析支持我们的排序方法，其中前 20 个 miRNA 与 IBD 基因的附着力约为十倍。通过疾病相关 miRNA 网络分析，我们发现 71% 与这些 miRNA 相关的不同疾病与 IBD 的相似度得分超过 0.75。结论我们成功鉴定了一些与IBD相关的miRNA，其中评分公式和疾病相关网络分析显示了我们方法的重要性。该方法可能是分离类似疾病类型的 miRNA 的一种有前途的方法。