Abstract
To calculate the similarity or dissimilarity of DNA sequences, a new method is proposed based on pulse coupled neural network (PCNN) model. First, according to the characteristics of PCNN model, we encode DNA primary sequences using a simple coding method. Then we use PCNN model to extract the entropy sequence (ES) of the encoded DNA sequence; the ES expresses the features of the DNA sequences. At last, we calculate the similarity of the ES by Euclidean distance to get the similarity of DNA sequences. We take several sets of data to test our method. The experimental results demonstrate that our method is effective.
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Acknowledgements
Our work is supported by the National Natural Science Foundation of China (Grant 61365001, 61463052).
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Jin, X., Zhou, D., Yao, S., Nie, R., Wang, Q., He, K. (2016). Analysis of Similarity/Dissimilarity of DNA Sequences Based on Pulse Coupled Neural Network. In: Sombattheera, C., Stolzenburg, F., Lin, F., Nayak, A. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2016. Lecture Notes in Computer Science(), vol 10053. Springer, Cham. https://doi.org/10.1007/978-3-319-49397-8_24
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DOI: https://doi.org/10.1007/978-3-319-49397-8_24
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