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Advances in Bioinformatics: 4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010)

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Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	336523246 Buchausg. u.d.T.: ‡Advances in bioinformatics
ISBN	978-3-642-13213-1
Name	Rocha, Miguel P.
Name	Corchado, Juan Manuel
Name ANZEIGE DER KETTE	Corchado, Juan Manuel
Name	Riverola, Florentino Fernández
Name	Shatkay, Hagit
T I T E L	Advances in Bioinformatics
Zusatz zum Titel	4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010)
Verlagsort	Berlin, Heidelberg
Verlag	Springer Berlin Heidelberg
Erscheinungsjahr	2010
Erscheinungsjahr	2010
Umfang	Online-Ressource (240p. 62 illus, digital)
Reihe	Advances in Intelligent and Soft Computing ; 74
Notiz / Fußnoten	Includes bibliographical references and index
Weiterer Inhalt	Title Page; Preface; Organization; Contents; Microarrays; Data Mining and Data Integration; Phylogenetics and Sequence Analysis; Biomedical Applications; Bioinformatics Applications; Highlighting Differential Gene Expression between Two Condition Microarrays through Heterogeneous Genomic Data: Application to Lesihmania infantum Stages Comparison; An Experimental Evaluation of a Novel Stochastic Method for Iterative Class Discovery on Real Microarray Datasets; Automatic Workflow during the Reuse Phase of a CBP System Applied to Microarray Analysis. A Comparative Study of Microarray Data Classification Methods Based on Ensemble Biological Relevant Gene SetsPredicting the Start of Protein \alpha-Helices Using Machine Learning Algorithms; A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups; GRASP for Instance Selection in Medical Data Sets; Expanding Gene-Based PubMed Queries; Improving Cross Mapping in Biomedical Databases; An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition; Feature Selection Using Multi-Objective Evolutionary Algorithms: Application to Cardiac SPECT Diagnosis. Two Results on Distances for Phylogenetic NetworksCram\'{e}r Coefficient in Genome Evolution; An Application for Studying Tandem Repeats in Orthologous Genes; Accurate Selection of Models of Protein Evolution; Scalable Phylogenetics through Input Preprocessing; The Median of the Distance between Two Leaves in a Phylogenetic Tree; {\it In Silico} AFLP: An Application to Assess What Is Needed to Resolve a Phylogeny; Employing Compact Intra-genomic Language Models to Predict Genomic Sequences and Characterize Their Entropy; Structure Based Design of Potential Inhibitors of Steroid Sulfatase. Agent-Based Model of the Endocrine Pancreas and Interaction with Innate Immune SystemState-of-the-Art Genetic Programming for Predicting Human Oral Bioavailability of Drugs; Pharmacophore-Based Screening as a Clue for the Discovery of New P-Glycoprotein Inhibitors; {\it e}-BiMotif: Combining Sequence Alignment and Biclustering to Unravel Structured Motifs; Applying a Metabolic Footprinting Approach to Characterize the Impact of the Recombinant Protein Production in {\it Escherichia coli}; Rbbt: A Framework for Fast Bioinformatics Development with Ruby. Analysis of the Effect of Reversibility Constraints on the Predictions of Genome-Scale Metabolic ModelsEnhancing Elementary Flux Modes Analysis Using Filtering Techniques in an Integrated Environment; Genome Visualization in Space; A Hybrid Scheme to Solve the Protein Structure Prediction Problem; Author Index
Titelhinweis	Buchausg. u.d.T.: ‡Advances in bioinformatics
ISBN	ISBN 978-3-642-13214-8
Klassifikation	50.00
	UYQ
	COM004000
	006.3
	570.285
	572.0285
	Q342
Kurzbeschreibung	The fields of Bioinformatics and Computational Biology have been growing steadily over the last few years boosted by an increasing need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology. This calls for new algorithms and approaches from fields such as Data Integration, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence.
2. Kurzbeschreibung	The fields of Bioinformatics and Computational Biology have been growing steadily over the last few years boosted by an increasing need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology. This calls for new algorithms and approaches from fields such as Data Integration, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence
1. Schlagwortkette	Bioinformatik
1. Schlagwortkette	Kongress
1. Schlagwortkette ANZEIGE DER KETTE	Bioinformatik -- Kongress
2. Schlagwortkette	Bioinformatik
	Kongress
	Guimarães
ANZEIGE DER KETTE	Bioinformatik -- Kongress -- Guimarães
SWB-Titel-Idn	325492115
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-642-13214-8
Internetseite / Link	Volltext
Siehe auch	Volltext

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