Data Mining in Biomedicine

Edited by Panos M. Pardalos, Vladimir L. Boginski and Alkis Vazacopoulos

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2007
ISBN: 978-0-387-69319-4
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Chapters in this book:

Pattern-Based Discriminants in the Logical Analysis of Data

Sorin Alexe and Peter L. Hammer

Exploring Microarray Data with Correspondence Analysis

Stanislav Busygin and Panos M. Pardalos

An Ensemble Method of Discovering Sample Classes Using Gene Expression Profiling

Dechang Chen, Zhe Zhang, Zhenqiu Liu and Xiuzhen Cheng

CpG Island Identification with Higher Order and Variable Order Markov Models

Zhenqiu Liu, Dechang Chen and Xue-wen Chen

Data Mining Algorithms for Virtual Screening of Bioactive Compounds

Mukund Deshpande, Michihiro Kuramochi and George Karypis

Sparse Component Analysis: a New Tool for Data Mining

Pando Georgiev, Fabian Theis, Andrzej Cichocki and Hovagim Bakardjian

Data Mining Via Entropy and Graph Clustering

Anthony Okafor, Panos Pardalos and Michelle Ragle

Molecular Biology and Pooling Design

Weili Wu, Yingshu Li, Chih-hao Huang and Ding-Zhu Du

An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier

Musa Mammadov, Alex Rubinov and John Yearwood

Classifying Noisy and Incomplete Medical Data by a Differential Latent Semantic Indexing Approach

Liang Chen, Jia Zeng and Jian Pei

Ontology Search and Text Mining of MEDLINE Database

Hyunki Kim and Su-Shing Chen

Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias

M. W. Brauner, N. Brauner, P. L. Hammer, I. Lozina and D. Valeyre

Diagnosis of Alport Syndrome by Pattern Recognition Techniques

Giacomo Patrizi, Gabriella Addonisio, Costas Giannakakis, Andrea Onetti Muda, Gregorio Patrizi and Tullio Faraggiana

Clinical Analysis of the Diagnostic Classification of Geriatric Disorders

Giacomo Patrizi, Gregorio Patrizi, Luigi Cioccio and Claudia Bauco

A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis

Budi Santosa, Tyrrell Conway and Theodore Trafalis

Mathematical Programming Formulations for Problems in Genomics and Proteomics

Cláudio N. Meneses, Carlos A. S. Oliveira and Panos M. Pardalos

Inferring the Origin of the Genetic Code

Maria Luisa Chiusano, Luigi Frusciante and Gerardo Toraldo

Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics

Jian-Bo Gao, Yinhe Cao and Wen-wen Tung

Clustering Proteomics Data Using Bayesian Principal Component Analysis

Halima Bensmail, O. John Semmes and Abdelali Haoudi

Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining

Su-Shing Chen, William E. Haskins, Andrew K. Ottens, Ronald L. Hayes, Nancy Denslow and Kevin K. W. Wang

Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach

G. Ceci, A. Mucherino, M. D’Apuzzo, D. Serafino, S. Costantini, A. Facchiano and G. Colonna

A Topological Characterization of Protein Structure

Bala Krishnamoorthy, Scott Provan and Alexander Tropsha

Data Mining in EEG: Application to Epileptic Brain Disorders

W. Chaovalitwongse, P. M. Pardalos, L. D. Iasemidis, W. Suharitdamrong, D. -S. Shiau, L. K. Dance, O. A. Prokopyev, V. L. Boginski, P. R. Carney and J. C. Sackellares

Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain

S. Sabesan, K. Narayanan, A. Prasad, L. D. Iasemidis, A. Spanias and K. Tsakalis

Reconstruction of Epileptic Brain Dynamics Using Data Mining Techniques

Panos M. Pardalos and Vitaliy A. Yatsenko

Automated Seizure Prediction Algorithm and its Statistical Assessment: A Report from Ten Patients

D. -S. Shiau, L. D. Iasemidis, M. C. K. Yang, P. M. Pardalos, P. R. Carney, L. K. Dance, W. Chaovalitwongse and J. C. Sackellares

Seizure Predictability in an Experimental Model of Epilepsy

S. P. Nair, D. -S. Shiau, L. D. Iasemidis, W. M. Norman, P. M. Pardalos, J. C. Sackellares and P. R. Carney

Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling

Oleg A. Prokopyev, Vladimir L. Boginski, Wanpracha Chaovalitwongse, Panos M. Pardalos, J. Chris Sackellares and Paul R. Carney

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DOI: 10.1007/978-0-387-69319-4

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