Data Mining in Biomedicine

Table of Contents

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   Book Overview
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   Chapter 1 Pattern-Based Discriminants in the Logical Analysis of Data
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   Chapter 2 Exploring Microarray Data with Correspondence Analysis
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   Chapter 3 An Ensemble Method of Discovering Sample Classes Using Gene Expression Profiling
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   Chapter 4 CpG Island Identification with Higher Order and Variable Order Markov Models
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   Chapter 5 Data Mining Algorithms for Virtual Screening of Bioactive Compounds
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   Chapter 6 Sparse Component Analysis: a New Tool for Data Mining
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   Chapter 7 Data Mining Via Entropy and Graph Clustering
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   Chapter 8 Molecular Biology and Pooling Design
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    Chapter 9 An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier
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    Chapter 10 Classifying Noisy and Incomplete Medical Data by a Differential Latent Semantic Indexing Approach
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    Chapter 11 Ontology Search and Text Mining of MEDLINE Database
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    Chapter 12 Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias
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    Chapter 13 Diagnosis of Alport Syndrome by Pattern Recognition Techniques
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    Chapter 14 Clinical Analysis of the Diagnostic Classification of Geriatric Disorders
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    Chapter 15 A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis
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    Chapter 16 Mathematical Programming Formulations for Problems in Genomics and Proteomics
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    Chapter 17 Inferring the Origin of the Genetic Code
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    Chapter 18 Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics
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    Chapter 19 Clustering Proteomics Data Using Bayesian Principal Component Analysis
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    Chapter 20 Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining
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    Chapter 21 Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach
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    Chapter 22 A Topological Characterization of Protein Structure
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    Chapter 23 Data Mining in EEG: Application to Epileptic Brain Disorders
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    Chapter 24 Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain
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    Chapter 25 Reconstruction of Epileptic Brain Dynamics Using Data Mining Techniques
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    Chapter 26 Automated Seizure Prediction Algorithm and its Statistical Assessment: A Report from Ten Patients
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    Chapter 27 Seizure Predictability in an Experimental Model of Epilepsy
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    Chapter 28 Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling