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1Integrated analysis of genetic, genomic, and proteomic data
D. Reif, B. White, and J. Moore. Expert Review of Proteomics, 1 (1): 67--75 (2004)
17 years ago by @brazovayeye
show all tags
SNP,
algorithms,
complex
data
evaluation,
expression,
gene
genetic
joint
nucleotide
polymorphism
programming,
protein
reliability,
simulation,
single
systems,
SNP,algorithms,complexdataevaluation,expression,genegeneticjointnucleotidepolymorphismprogramming,proteinreliability,simulation,singlesystems,
(0)
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2Discovering biological motifs with genetic programming
R. Seehuus, A. Tveit, and O. Edsberg. GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 1, page 401--408. Washington DC, USA, ACM Press, (25-29 June 2005)
17 years ago by @brazovayeye
show all tags
Applications,
Biological
algorithms,
genetic
motifs,
performance,
programming,
protein
representations
Applications,Biologicalalgorithms,geneticmotifs,performance,programming,proteinrepresentations
(0)
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1The Evolution of Stochastic Regular Motifs for Protein Sequences
B. Ross. New Generation Computing, 20 (2): 187--213 (February 2002)
17 years ago by @brazovayeye
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Computation
Evolutionary
Expressions,
Genetic
Grammatical
Motifs,
Programming,
Protein
Regular
Stochastic
algorithms,
expressions,
genetic
motif,
programming,
protein,
regular
stochastic
ComputationEvolutionaryExpressions,GeneticGrammaticalMotifs,Programming,ProteinRegularStochasticalgorithms,expressions,geneticmotif,programming,protein,regularstochastic
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1Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities
B. Ross. 6th IASTED International Conference, Artificial Intelligence and Soft Computing, ASC 2002, The Banff Centre for Conferences, Box 1020, 107 Tunnel Mountain Drive, Banff, Alberta, T0L 0C0, Canada, (17-19 July 2002)
17 years ago by @brazovayeye
show all tags
algorithms,
expressions,
genetic
motif
programming,
protein
regular
stochastic
algorithms,expressions,geneticmotifprogramming,proteinregularstochastic
(0)
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1Mapping of Hierarchical Parallel Genetic Algorithms for Protein Folding onto Computational Grids
W. Liu, and B. Schmidt. IEICE Transactions on Information and Systems, E89-D (2): 589--596 (2006)
17 years ago by @brazovayeye
show all tags
HP
algorithms,
computational
folding,
generic
genetic
grids,
hierarchical
lattice
models,
parallel
programming
programming,
protein
HPalgorithms,computationalfolding,genericgeneticgrids,hierarchicallatticemodels,parallelprogrammingprogramming,protein
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1Repeated Patterns in Genetic Programming
W. Langdon, and W. Banzhaf. Natural Computing, (2008)Published online: 26 May 2007.
17 years ago by @brazovayeye
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ALU,
Frequent
GPquick,
Mackey-Glass,
Poly-10,
SINE,
algorithms,
analysis
evolution
frequent
genetic
localisation,
nuclear
of
program
programming,
protein
sensitivity
shape,
subgraphs,
subtrees,
tinyGP,
ALU,FrequentGPquick,Mackey-Glass,Poly-10,SINE,algorithms,analysisevolutionfrequentgeneticlocalisation,nuclearofprogramprogramming,proteinsensitivityshape,subgraphs,subtrees,tinyGP,
(0)
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1Particle Swarm Optimisation for Protein Motif Discovery
B. Chang, A. Ratnaweera, S. Halgamuge, and H. Watson. Genetic Programming and Evolvable Machines, 5 (2): 203--214 (June 2004)
17 years ago by @brazovayeye
show all tags
HPSO-TVAC
PSO,
data
discovery,
motif
motif,
optimisation,
particle
protein
sequence
swarm
symbolic
HPSO-TVACPSO,datadiscovery,motifmotif,optimisation,particleproteinsequenceswarmsymbolic
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1Integrated analysis of genetic, genomic, and proteomic data

2Discovering biological motifs with genetic programming

1The Evolution of Stochastic Regular Motifs for Protein Sequences

1Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities

1Mapping of Hierarchical Parallel Genetic Algorithms for Protein Folding onto Computational Grids

1Repeated Patterns in Genetic Programming

1Particle Swarm Optimisation for Protein Motif Discovery

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