DocumentCode
3394236
Title
Classification of mouse fRNA genes using evolved neural networks
Author
Cheung, Mars ; Fogel, Gary B.
Author_Institution
Natural Selection Inc., San Diego, CA
fYear
2008
fDate
15-17 Sept. 2008
Firstpage
9
Lastpage
14
Abstract
Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some classes of fRNAs (especially microRNAs) have short coding regions and do not use classical signals common to protein coding genes. Following on previous experiments to generate pattern recognition models for the identification of fRNA genes using evolved neural networks, here we apply these approaches to the classification of fRNA genes in M. musculus.
Keywords
biology computing; genetics; genomics; macromolecules; molecular biophysics; pattern classification; M. musculus; functional RNA; gene classification; gene regulation; microRNA; mouse fRNA genes; neural networks; pattern recognition model; protein coding genes; Bioinformatics; Cloning; Genomics; Internet; Mice; Neural networks; Pattern recognition; Proteins; RNA; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Bioinformatics and Computational Biology, 2008. CIBCB '08. IEEE Symposium on
Conference_Location
Sun Valley, ID
Print_ISBN
978-1-4244-1778-0
Electronic_ISBN
978-1-4244-1779-7
Type
conf
DOI
10.1109/CIBCB.2008.4675753
Filename
4675753
Link To Document