LEADER 05647nam 22008415 450 001 9910484036003321 005 20251226203858.0 010 $a3-540-71783-8 024 7 $a10.1007/978-3-540-71783-6 035 $a(CKB)1000000000478488 035 $a(SSID)ssj0000151532 035 $a(PQKBManifestationID)11153781 035 $a(PQKBTitleCode)TC0000151532 035 $a(PQKBWorkID)10337677 035 $a(PQKB)11068187 035 $a(DE-He213)978-3-540-71783-6 035 $a(MiAaPQ)EBC3068371 035 $a(PPN)123161576 035 $a(BIP)21892496 035 $a(BIP)14133510 035 $a(EXLCZ)991000000000478488 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics $e5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings /$fedited by Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XI, 302 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4447 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-71782-X 320 $aIncludes bibliographical references and index. 327 $aIdentifying 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. 330 $aThis book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4447 606 $aArtificial intelligence 606 $aComputer programming 606 $aComputer science 606 $aAlgorithms 606 $aBioinformatics 606 $aPattern recognition systems 606 $aArtificial Intelligence 606 $aProgramming Techniques 606 $aTheory of Computation 606 $aAlgorithms 606 $aComputational and Systems Biology 606 $aAutomated Pattern Recognition 615 0$aArtificial intelligence. 615 0$aComputer programming. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aBioinformatics. 615 0$aPattern recognition systems. 615 14$aArtificial Intelligence. 615 24$aProgramming Techniques. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aComputational and Systems Biology. 615 24$aAutomated Pattern Recognition. 676 $a572.80285/6 701 $aMarchiori$b E$01754055 701 $aMoore$b Jason H$0899213 701 $aRajapakse$b Jagath Chandana$01678834 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484036003321 996 $aEvolutionary computation, machine learning and data mining in bioinformatics$94204258 997 $aUNINA