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008 100301s2007 xxu| s |||| 0|eng d
020 |a 9780387693194 
024 7 |a 10.1007/978-0-387-69319-4  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
245 1 0 |a Data Mining in Biomedicine /  |c edited by Panos M. Pardalos, Vladimir L. Boginski, Alkis Vazacopoulos. 
250 |a 1st ed. 2007. 
260 # # |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2007. 
300 |a XVIII, 580 p. :  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Springer Optimization and Its Applications,  |v 7 
505 0 |a Recent Methodological Developments for Data Mining Problems in Biomedicine -- Pattern-Based Discriminants in the Logical Analysis of Data -- Exploring Microarray Data with Correspondence Analysis -- An Ensemble Method of Discovering Sample Classes Using Gene Expression Profiling -- CpG Island Identification with Higher Order and Variable Order Markov Models -- Data Mining Algorithms for Virtual Screening of Bioactive Compounds -- Sparse Component Analysis: a New Tool for Data Mining -- Data Mining Via Entropy and Graph Clustering -- Molecular Biology and Pooling Design -- An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier -- Classifying Noisy and Incomplete Medical Data by a Differential Latent Semantic Indexing Approach -- Ontology Search and Text Mining of MEDLINE Database -- Data Mining Techniques in Disease Diagnosis -- Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias -- Diagnosis of Alport Syndrome by Pattern Recognition Techniques -- Clinical Analysis of the Diagnostic Classification of Geriatric Disorders -- Data Mining Studies in Genomics and Proteomics -- A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis -- Mathematical Programming Formulations for Problems in Genomics and Proteomics -- Inferring the Origin of the Genetic Code -- Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics -- Clustering Proteomics Data Using Bayesian Principal Component Analysis -- Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining -- Characterization and Prediction of Protein Structure -- Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach -- A Topological Characterization of Protein Structure -- Applications of Data Mining Techniques to Brain Dynamics Studies -- Data Mining in EEG: Application to Epileptic Brain Disorders -- Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain -- Reconstruction of Epileptic Brain Dynamics Using Data Mining Techniques -- Automated Seizure Prediction Algorithm and its Statistical Assessment: A Report from Ten Patients -- Seizure Predictability in an Experimental Model of Epilepsy -- Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling. 
650 0 |a Medicine. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Operations research. 
650 0 |a Management science. 
650 0 |a Biomedical engineering. 
650 0 |a Statistics . 
650 1 4 |a Biomedicine, general. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Operations Research, Management Science. 
650 2 4 |a Biomedical Engineering and Bioengineering. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
700 1 |a Pardalos, Panos M.  |e editor.  |0 (orcid)0000-0003-2824-101X  |1 https://orcid.org/0000-0003-2824-101X 
700 1 |a Boginski, Vladimir L.  |e editor. 
700 1 |a Vazacopoulos, Alkis.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
900 |a Libro descargado a ALEPH en bloque (proveniente de proveedor)