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

Overview
Journal Genomics Inform
Publisher Biomed Central
Specialty Biology
Date 2019 Apr 2
PMID 30929411
Citations 1
Authors
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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.

Citing Articles

HisCoM-PAGE: software for hierarchical structural component models for pathway analysis of gene expression data.

Mok L, Park T Genomics Inform. 2020; 17(4):e45.

PMID: 31896245 PMC: 6944051. DOI: 10.5808/GI.2019.17.4.e45.

References
1.
Lewis B, Burge C, Bartel D . Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005; 120(1):15-20. DOI: 10.1016/j.cell.2004.12.035. View

2.
Hsu S, Lin F, Wu W, Liang C, Huang W, Chan W . miRTarBase: a database curates experimentally validated microRNA-target interactions. Nucleic Acids Res. 2010; 39(Database issue):D163-9. PMC: 3013699. DOI: 10.1093/nar/gkq1107. View

3.
Cho J, Gelinas R, Wang K, Etheridge A, Piper M, Batte K . Systems biology of interstitial lung diseases: integration of mRNA and microRNA expression changes. BMC Med Genomics. 2011; 4:8. PMC: 3035594. DOI: 10.1186/1755-8794-4-8. View

4.
Farazi T, Hoell J, Morozov P, Tuschl T . MicroRNAs in human cancer. Adv Exp Med Biol. 2013; 774:1-20. PMC: 3704221. DOI: 10.1007/978-94-007-5590-1_1. View

5.
Kang S, Lee H . MicroRNAs in human lung cancer. Exp Biol Med (Maywood). 2014; 239(11):1505-13. DOI: 10.1177/1535370214533887. View