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|a 9783540787570
|9 978-3-540-78757-0
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|a 10.1007/978-3-540-78757-0
|2 doi
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|a Q334-342
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|a Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|h [electronic resource] :
|b 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings /
|c edited by Elena Marchiori, Jason H. Moore.
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|a 1st ed. 2008.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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|a X, 213 p.
|b online resource.
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|a text
|b txt
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 4973
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|a A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification -- Using Ant Colony Optimization-Based Selected Features for Predicting Post-synaptic Activity in Proteins -- Generating Linkage Disequilibrium Patterns in Data Simulations Using genomeSIMLA -- DEEPER: A Full Parsing Based Approach to Protein Relation Extraction -- Improving the Performance of Hierarchical Classification with Swarm Intelligence -- Protein Interaction Inference Using Particle Swarm Optimization Algorithm -- Divide, Align and Full-Search for Discovering Conserved Protein Complexes -- Detection of Quantitative Trait Associated Genes Using Cluster Analysis -- Frequent Subsplit Representation of Leaf-Labelled Trees -- Inference on Missing Values in Genetic Networks Using High-Throughput Data -- Mining Gene Expression Patterns for the Discovery of Overlapping Clusters -- Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases -- Gene Selection and Cancer Microarray Data Classification Via Mixed-Integer Optimization -- Detection of Protein Complexes in Protein Interaction Networks Using n-Clubs -- Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control -- Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps -- A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing -- On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways.
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|a Artificial intelligence.
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|a Computer programming.
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|a Computer science.
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|a Algorithms.
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|a Bioinformatics.
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|a Pattern recognition systems.
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|a Artificial Intelligence.
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|a Programming Techniques.
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|a Theory of Computation.
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|a Algorithms.
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|a Computational and Systems Biology.
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|a Automated Pattern Recognition.
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|a Marchiori, Elena.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Moore, Jason H.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540849469
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|i Printed edition:
|z 9783540787563
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 4973
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|u https://doi.uam.elogim.com/10.1007/978-3-540-78757-0
|z Texto Completo
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|a ZDB-2-SCS
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|a Computer Science (SpringerNature-11645)
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|a Computer Science (R0) (SpringerNature-43710)
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