Mining characteristic relations bind to RNA secondary structures

Chen, Qingfeng and Chen, Yi-Ping Phoebe (2010) Mining characteristic relations bind to RNA secondary structures. IEEE Transactions on Information Technology in Biomedicine, 14 1: 10-15. doi:10.1109/TITB.2009.2032655

Author Chen, Qingfeng
Chen, Yi-Ping Phoebe
Title Mining characteristic relations bind to RNA secondary structures
Journal name IEEE Transactions on Information Technology in Biomedicine   Check publisher's open access policy
ISSN 1089-7771
Publication date 2010-01
Year available 2009
Sub-type Article (original research)
DOI 10.1109/TITB.2009.2032655
Volume 14
Issue 1
Start page 10
End page 15
Total pages 6
Place of publication Piscataway, NJ, United States
Publisher I E E E
Collection year 2011
Language eng
Abstract The identification of RNA secondary structures has been among the most exciting recent developments in biology and medical science. It has been recognized that there is an abundance of functional structures with frameshifting, regulation of translation, and splicing functions. However, the inherent signal for secondary structures is weak and generally not straightforward due to complex interleaving substrings. This makes it difficult to explore their potential functions from various structure data. Our approach, based on a collection of predicted RNA secondary structures, allows us to efficiently capture interesting characteristic relations in RNA and bring out the top-ranked rules for specified association groups.Our results not only point to a number of interesting associations and include a brief biological interpretation to them. It assists biologists in sorting out the most significant characteristic structure patterns and predicting structure–function relationships in RNA. © Copyright 2011 IEEE – All Rights Reserved
Keyword Association group
Probability matrix
Secondary structure
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Date of Publication: 25 September 2009

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
Institute for Molecular Bioscience - Publications
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 3 times in Scopus Article | Citations
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Created: Sun, 07 Feb 2010, 00:06:11 EST