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angle monteagudo
(1 results)?
Analysis of behaviour transitions in tumour growth using a cellular automaton simulation.
IET Syst Biol. 2015 Jun;9(3):75-87. doi: 10.1049/iet-syb.2014.0015.
IET Syst Biol. 2015.
PMID: 26021328
Free PMC article.
Treatment Analysis in a Cancer Stem Cell Context Using a Tumor Growth Model Based on Cellular Automata.
Monteagudo Á, Santos J.
Monteagudo Á, et al.
PLoS One. 2015 Jul 15;10(7):e0132306. doi: 10.1371/journal.pone.0132306. eCollection 2015.
PLoS One. 2015.
PMID: 26176702
Free PMC article.
Item in Clipboard
Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability.
Santos J, Monteagudo Á.
Santos J, et al. Among authors: monteagudo a.
BMC Bioinformatics. 2017 Mar 27;18(1):195. doi: 10.1186/s12859-017-1608-x.
BMC Bioinformatics. 2017.
PMID: 28347270
Free PMC article.
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Simulated evolution applied to study the genetic code optimality using a model of codon reassignments.
Santos J, Monteagudo A.
Santos J, et al. Among authors: monteagudo a.
BMC Bioinformatics. 2011 Feb 21;12:56. doi: 10.1186/1471-2105-12-56.
BMC Bioinformatics. 2011.
PMID: 21338505
Free PMC article.
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Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context.
Monteagudo Á, Santos J.
Monteagudo Á, et al.
Biosystems. 2014 Jan;115:46-58. doi: 10.1016/j.biosystems.2013.11.001. Epub 2013 Nov 19.
Biosystems. 2014.
PMID: 24262634
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Study of the genetic code adaptability by means of a genetic algorithm.
Santos J, Monteagudo A.
Santos J, et al. Among authors: monteagudo a.
J Theor Biol. 2010 Jun 7;264(3):854-65. doi: 10.1016/j.jtbi.2010.02.041. Epub 2010 Feb 26.
J Theor Biol. 2010.
PMID: 20219479
Free article.
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