Classification of mouse fRNA genes using evolved neural networks

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 <i>M</i>. musculus.

DOI: 10.1109/CIBCB.2008.4675753

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Cite this paper

@article{Cheung2008ClassificationOM, title={Classification of mouse fRNA genes using evolved neural networks}, author={Mars Cheung and Gary B. Fogel}, journal={2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology}, year={2008}, pages={9-14} }