Title :
Classification of mouse fRNA genes using evolved neural networks
Author :
Cheung, Mars ; Fogel, Gary B.
Author_Institution :
Natural Selection Inc., San Diego, CA
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;
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
DOI :
10.1109/CIBCB.2008.4675753