Kim Yongkang, Park Taesung
Department of Statistics, Seoul National University, Seoul 08826, Korea.
Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.
Genomics Inform. 2019 Mar;17(1):e10. doi: 10.5808/GI.2019.17.1.e10. Epub 2019 Mar 31.
To identify miRNA-mRNA interaction pairs associated with binary phenotypes, we propose a hierarchical structural component model for miRNA-mRNA integration (HisCoM-mimi). Information on known mRNA targets provided by TargetScan is used to perform HisCoM-mimi. However, multiple databases can be used to find miRNA-mRNA signatures with known biological information through different algorithms. To take these additional databases into account, we present our advanced application software for HisCoM-mimi for binary phenotypes. The proposed HisCoM-mimi supports both TargetScan and miRTarBase, which provides manually-verified information initially gathered by text-mining the literature. By integrating information from miRTarBase into HisCoM-mimi, a broad range of target information derived from the research literature can be analyzed. Another improvement of the new HisCoM-mimi approach is the inclusion of updated algorithms to provide the lasso and elastic-net penalties for users who want to fit a model with a smaller number of selected miRNAs and mRNAs. We expect that our HisCoM-mimi software will make advanced methods accessible to researchers who want to identify miRNA-mRNA interaction pairs related with binary phenotypes.
为了识别与二元表型相关的miRNA-mRNA相互作用对,我们提出了一种用于miRNA-mRNA整合的分层结构成分模型(HisCoM-mimi)。利用TargetScan提供的已知mRNA靶标信息来执行HisCoM-mimi。然而,可以使用多个数据库通过不同算法来寻找具有已知生物学信息的miRNA-mRNA特征。为了考虑这些额外的数据库,我们展示了针对二元表型的HisCoM-mimi高级应用软件。所提出的HisCoM-mimi支持TargetScan和miRTarBase,miRTarBase提供了最初通过文献文本挖掘收集的经过人工验证的信息。通过将miRTarBase中的信息整合到HisCoM-mimi中,可以分析来自研究文献的广泛靶标信息。新的HisCoM-mimi方法的另一个改进是纳入了更新的算法,为希望用较少数量的选定miRNA和mRNA拟合模型的用户提供套索和弹性网惩罚。我们期望我们的HisCoM-mimi软件将使那些想要识别与二元表型相关的miRNA-mRNA相互作用对的研究人员能够使用先进的方法。