UM  > 健康科學學院
Prediction of microRNA targets in Caenorhabditis elegans using a self-organizing map
Heikkinen L.; Kolehmainen M.; Wong G.
2011-05-01
Source PublicationBioinformatics
ISSN13674803 14602059
Volume27Issue:9Pages:1247-1254
Abstract

Motivation: MicroRNAs (miRNAs) are small non-coding RNAs that regulate transcriptional processes via binding to the target gene mRNA. In animals, this binding is imperfect, which makes the computational prediction of animal miRNA targets a challenging task. The accuracy of miRNA target prediction can be improved with the use of machine learning methods. Previous work has described methods using supervised learning, but they suffer from the lack of adequate training examples, a common problem in miRNA target identification, which often leads to deficient generalization ability. Results: In this work, we introduce mirSOM, a miRNA target prediction tool based on clustering of short 3′-untranslated region (3′-UTR) substrings with self-organizing map (SOM). As our method uses unsupervised learning and a large set of verified Caenorhabditis elegans 3′-UTRs, we did not need to resort to training using a known set of targets. Our method outperforms seven other methods in predicting the experimentally verified C.elegans true and false miRNA targets. © The Author 2011. Published by Oxford University Press. All rights reserved.

DOI10.1093/bioinformatics/btr144
URLView the original
Indexed BySCI
Language英语
WOS Research AreaBiochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
WOS SubjectBiochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
WOS IDWOS:000290331600008
Fulltext Access
Citation statistics
Cited Times [WOS]:9   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Health Sciences
AffiliationItä-Suomen yliopisto
Recommended Citation
GB/T 7714
Heikkinen L.,Kolehmainen M.,Wong G.. Prediction of microRNA targets in Caenorhabditis elegans using a self-organizing map[J]. Bioinformatics,2011,27(9):1247-1254.
APA Heikkinen L.,Kolehmainen M.,&Wong G..(2011).Prediction of microRNA targets in Caenorhabditis elegans using a self-organizing map.Bioinformatics,27(9),1247-1254.
MLA Heikkinen L.,et al."Prediction of microRNA targets in Caenorhabditis elegans using a self-organizing map".Bioinformatics 27.9(2011):1247-1254.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Heikkinen L.]'s Articles
[Kolehmainen M.]'s Articles
[Wong G.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Heikkinen L.]'s Articles
[Kolehmainen M.]'s Articles
[Wong G.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Heikkinen L.]'s Articles
[Kolehmainen M.]'s Articles
[Wong G.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.