A Reinforcement Learning Based Approach to Multiple Sequence Alignment-Reference-Cited by-同舟云学术

A Reinforcement Learning Based Approach to Multiple Sequence Alignment

Published:2017-10-04 Issue: Volume: Page:54-70
ISSN:2194-5357
Container-title:Soft Computing Applications
language:
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Author:

Mircea Ioan-Gabriel,Bocicor Iuliana,Czibula Gabriela

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-62524-9_6

Reference26 articles.

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2. Carroll, H., Beckstead, W., O’Connor, T., Ebbert, M., Clement, M., Snell, Q., McClellan, D.: Dna reference alignment benchmarks based on teritary structure of encoded proteins. Bioinformatics 23(19), 2648–2649 (2007)

3. Chao, L., Shuai, L.: The research on DNA multiple sequence alignment based on adaptive immune genetic algorithm. In: International Conference on Electronics and Optoelectronics (ICEOE), vol. 3, pp. V3–75–V3–78, July 2011

4. Chen, S.M., Lin, C.H.: Multiple DNA sequence aalignment based on genetic algorithms and divide-and-conquer techniques. Int. J. Appl. Sci. Eng. 3, 89–100 (2005)

5. Chen, S.M., Lin, C.H.: Multiple DNA sequence alignment based on genetic simulated annealing techniques. Inf. Manag. Sci. 18, 97–111 (2007)

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