A novel DNA sequence similarity calculation based on simplified pulse-coupled neural network and Huffman coding

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A novel DNA sequence similarity calculation based on simplified pulse-coupled neural network and Huffman coding

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作者：Xin Jin^a ; ^{xinxin_jin@163.com" class="auth_mail" title="E-mail the corresponding author} ; Rencan Nie^a ; Dongming Zhou^a ; ^{zhoudm@ynu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Shaowen Yao^b ; Yanyan Chen^c ; Jiefu Yu^a ; Quan Wang^a
关键词：Simplified pulse-coupled neural network ; DNA sequence ; Sequence similarity ; Huffman coding ; Euclidean distance
刊名：Physica A: Statistical Mechanics and its Applications
出版年：2016
出版时间：1 November 2016
年：2016
卷：461
期：Complete
页码：325-338
全文大小：1334 K

文摘

•: A novel representation based on Huffman coding was proposed.
•: We used a new method based on simplified pulse-coupled neural network (S-PCNN) to extract the features of the DNA sequences.
•: The similarities and dissimilarities among the species were determined by means of the Euclidean distance.

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