HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes
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...
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doaj-299d7d51013a44f5ae6f893d9c18b1fa2020-11-25T02:46:24ZengKorea Genome OrganizationGenomics & Informatics2234-07422019-03-0117110.5808/GI.2019.17.1.e10553HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypesYongkang Kim0Taesung Park1 Department of Statistics, Seoul National University, Seoul 08826, Korea Department of Statistics, Seoul National University, Seoul 08826, KoreaTo 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.http://genominfo.org/upload/pdf/gi-2019-17-1-e10.pdfintegration analysismiRNAmiRNA databasemRNA |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yongkang Kim Taesung Park |
spellingShingle |
Yongkang Kim Taesung Park HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes Genomics & Informatics integration analysis miRNA miRNA database mRNA |
author_facet |
Yongkang Kim Taesung Park |
author_sort |
Yongkang Kim |
title |
HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes |
title_short |
HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes |
title_full |
HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes |
title_fullStr |
HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes |
title_full_unstemmed |
HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes |
title_sort |
hiscom-mimi: software for hierarchical structural component analysis for mirna-mrna integration model for binary phenotypes |
publisher |
Korea Genome Organization |
series |
Genomics & Informatics |
issn |
2234-0742 |
publishDate |
2019-03-01 |
description |
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. |
topic |
integration analysis miRNA miRNA database mRNA |
url |
http://genominfo.org/upload/pdf/gi-2019-17-1-e10.pdf |
work_keys_str_mv |
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