MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics-Reference-Cited by-同舟云学术

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MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics

Published:2014-05-10 Issue:1 Volume:15 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Egea Jose A,Henriques David,Cokelaer Thomas,Villaverde Alejandro F,MacNamara Aidan,Danciu Diana-Patricia,Banga Julio R,Saez-Rodriguez Julio

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

https://link.springer.com/content/pdf/10.1186/1471-2105-15-136.pdf

Reference45 articles.

1. Greenberg HJ, Hart WE, Lancia G: Opportunities for combinatorial optimization in computational biology. Informs J Computing. 2004, 16 (3): 211-231. 10.1287/ijoc.1040.0073.

2. Larrañaga P, Calvo B, Santana R, Bielza C, Galdiano J, Inza I, Lozano JA, Armañanzas R, Santafé G, Pérez A, Robles V: Machine learning in bioinformatics. Brief Bioinform. 2006, 7: 86-112. 10.1093/bib/bbk007.

3. Festa P: On some optimization problems in molecular biology. Math Biosci. 2007, 207 (2): 219-234. 10.1016/j.mbs.2006.11.012.

4. Banga JR: Optimization in computational systems biology. BMC Syst Biol. 2008, 2: 47-10.1186/1752-0509-2-47.

5. Sun J, Garibaldi JM, Hodgman C: Parameter estimation using Metaheuristics in systems biology: a comprehensive review. IEEE/ACM Trans Comput Biol Bioinform. 2012, 9: 185-202.

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