Abstract
Gene prediction has been an interesting area of research in Bioinformatics. Many of the recent gene identification methods adopt different approaches which are more robust when dealing with uncertainty and ambiguity. In this paper details of Artificial Neural Networks and using them in study and analysis of Biological data are discussed. The types of neural networks in the area of bioinformatics are listed. The AI technique of simulated annealing is applied. Learning mechanism and evolution of neural networks in the field of bioinformatics are also listed.
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Bhaskara Murthy, V., Pardha Saradhi Varma, G. (2014). Neural Networks – A Case Study in Gene Identification. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_13
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DOI: https://doi.org/10.1007/978-3-319-02931-3_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02930-6
Online ISBN: 978-3-319-02931-3
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