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|a 9783642122118
|9 978-3-642-12211-8
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|a 10.1007/978-3-642-12211-8
|2 doi
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|a 570.113
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|a Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|h [electronic resource] :
|b 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings /
|c edited by Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini.
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|a 1st ed. 2010.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2010.
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|a XII, 249 p. 63 illus.
|b online resource.
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|a text
|b txt
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|a text file
|b PDF
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 6023
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|a Variable Genetic Operator Search for the Molecular Docking Problem -- Variable Genetic Operator Search for the Molecular Docking Problem -- Role of Centrality in Network-Based Prioritization of Disease Genes -- Parallel Multi-Objective Approaches for Inferring Phylogenies -- An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction -- Finding Gapped Motifs by a Novel Evolutionary Algorithm -- Top-Down Induction of Phylogenetic Trees -- A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships -- Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci -- Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions -- Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques -- Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data -- A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination -- A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins -- Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments -- Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models -- Posters -- The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics -- Artificial Immune Systems for Epistasis Analysis in Human Genetics -- Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models -- Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study -- Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes -- Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees.
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|a Bioinformatics.
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|a Algorithms.
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|a Database management.
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|a Artificial intelligence.
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|a Computer science.
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|a Artificial intelligence-Data processing.
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|a Computational and Systems Biology.
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|a Algorithms.
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|a Database Management.
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|a Artificial Intelligence.
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|a Theory of Computation.
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|a Data Science.
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700 |
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|a Pizzuti, Clara.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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1 |
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|a Ritchie, Marylyn D.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Giacobini, Mario.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783642122101
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776 |
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|i Printed edition:
|z 9783642122125
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830 |
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 6023
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-642-12211-8
|z Texto Completo
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a ZDB-2-LNC
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|a Computer Science (SpringerNature-11645)
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950 |
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|a Computer Science (R0) (SpringerNature-43710)
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