DocumentCode
3031735
Title
An exploration of individual RNA structural elements in RNA gene finding
Author
Erho, Nicholas ; Wiese, Kay
Author_Institution
Sch. of Comput. Sci., Simon Fraser Univ., Surrey, BC, Canada
fYear
2010
fDate
2-5 May 2010
Firstpage
1
Lastpage
9
Abstract
This paper explores the use of RNA structural elements for RNA gene finding. A classification experiment is performed in which several support vector machine models, based on the properties of individual RNA secondary structure elements, are trained and tested, revealing the structural elements which have properties useful for RNA gene finding. The study finds that the external loop and structure elements with classification accuracies of over 84% and the stemloop, hairpin, and tail elements with classification accuracies around 70% are the most likely structural elements to be successfully exploited by future RNA gene finders.
Keywords
bioinformatics; macromolecules; organic compounds; pattern classification; support vector machines; RNA gene finding; RNA secondary structure elements; classification experiment; external loop element; hairpin element; individual RNA structural elements; stemloop element; structure element; support vector machine models; tail element; Bioinformatics; Explosions; Genomics; Performance evaluation; RNA; Sequences; Support vector machine classification; Support vector machines; Tail; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2010 IEEE Symposium on
Conference_Location
Montreal, QC
Print_ISBN
978-1-4244-6766-2
Type
conf
DOI
10.1109/CIBCB.2010.5510328
Filename
5510328
Link To Document