Preliminary Results for GAMI: A Genetic Algorithms Approach to Motif Inference-Reference-Cited by-同舟云学术

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Preliminary Results for GAMI: A Genetic Algorithms Approach to Motif Inference

Published:2005 Issue: Volume: Page:
ISSN:
Container-title:2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
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Author:

Congdon C.B.,Fizer C.W.,Smith N.W.,Gaskins H.R.,Aman J.,Nava G.M.,Mattingly C.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/10629/33563/01594904.pdf?arnumber=1594904

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A modified Henry gas solubility optimization for solving motif discovery problem;Neural Computing and Applications;2019-11-25

2. A comprehensive survey on genetic algorithms for DNA motif prediction;Information Sciences;2018-10

3. Motif identification method based on Gibbs sampling and genetic algorithm;Cluster Computing;2016-11-28

4. Initial Results In Using de Novo Motif Inference to Detect Cis-Regulatory Modules;Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics;2013-09-22

5. Analysing the scalability of multiobjective evolutionary algorithms when solving the motif discovery problem;Journal of Global Optimization;2013-04-18

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