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
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;
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
DOI :
10.1109/CIBCB.2010.5510328