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|a 9783540717836
|9 978-3-540-71783-6
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|a 10.1007/978-3-540-71783-6
|2 doi
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|a 006.3
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|a Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|h [electronic resource] :
|b 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings /
|c edited by Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse.
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|a 1st ed. 2007.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
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|a XI, 302 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 4447
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|a Identifying Regulatory Sites Using Neighborhood Species -- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs -- Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction -- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data -- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification -- Understanding Signal Sequences with Machine Learning -- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization -- Modeling Genetic Networks: Comparison of Static and Dynamic Models -- A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data -- Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation -- Evolutionary Search for Improved Path Diagrams -- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment -- Towards Evolutionary Network Reconstruction Tools for Systems Biology -- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites -- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks -- Tuning ReliefF for Genome-Wide Genetic Analysis -- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms -- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines -- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines -- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives -- Virtual Error: A New Measure for Evolutionary Biclustering -- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters -- Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes -- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms -- Classification of Cell Fates with Support Vector Machine Learning -- Reconstructing Linear Gene Regulatory Networks -- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment -- Substitution Matrix Optimisation for Peptide Classification.
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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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1 |
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|a Moore, Jason H.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Rajapakse, Jagath C.
|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 9783540837107
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776 |
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|i Printed edition:
|z 9783540717829
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830 |
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|a Theoretical Computer Science and General Issues,
|x 2512-2029 ;
|v 4447
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-540-71783-6
|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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|a Computer Science (R0) (SpringerNature-43710)
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