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008			150903s2009 gw | o |||| 0|eng d
020			_a9783642011849 _99783642011849
024	7		_a10.1007/9783642011849 _2doi
035			_avtls000353040
039		9	_a201509030927 _bVLOAD _c201405060314 _dVLOAD _y201402180934 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA76.6-76.66
100	1		_aPizzuti, Clara. _eeditor. _9336403
245	1	0	_aEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics : _b7th European Conference, EvoBIO 2009 Tübingen, Germany, April 15-17, 2009 Proceedings / _cedited by Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2009.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aLecture Notes in Computer Science, _x0302-9743 ; _v5483
500			_aSpringer eBooks
505	0		_aAssociation Study between Gene Expression and Multiple Relevant Phenotypes with Cluster Analysis -- Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae -- Chronic Rat Toxicity Prediction of Chemical Compounds Using Kernel Machines -- Simulating Evolution of Drosophila Melanogaster Ebony Mutants Using a Genetic Algorithm -- Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform -- F-score with Pareto Front Analysis for Multiclass Gene Selection -- A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms -- Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks -- Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease -- On the Efficiency of Local Search Methods for the Molecular Docking Problem -- A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems -- Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets -- Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective -- Clustering Metagenome Short Reads Using Weighted Proteins -- A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony -- Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm -- Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification.
520			_aThis book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 17 revised full papers were carefully reviewed and selected from 44 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aRitchie, Marylyn D. _eeditor. _9320406
700	1		_aGiacobini, Mario. _eeditor. _9334690
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642011832
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-01184-9 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c299461 _d299461