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HisCoM-mimi:用于二元表型的miRNA-mRNA整合模型的层次结构成分分析软件。

HisCoM-mimi: Software for Hierarchical Structural Component Analysis for miRNA-mRNA Integration Model for Binary Phenotypes.

作者信息

Kim Yongkang, Park Taesung

机构信息

Department of Statistics, Seoul National University, Seoul 08826, Korea.

Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.

出版信息

Genomics Inform. 2019 Mar;17(1):e10. doi: 10.5808/GI.2019.17.1.e10. Epub 2019 Mar 31.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8921/6459173/cd6ad7deff31/gi-2019-17-1-e10f1.jpg

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