Sorin Alexe and Peter L. HammerStanislav Busygin and Panos M. PardalosDechang Chen and Zhe Zhang and Zhenqiu Liu and Xiuzhen ChengZhenqiu Liu and Dechang Chen and Xue-wen ChenMukund Deshpande and Michihiro Kuramochi and George KarypisPando Georgiev and Fabian Theis and Andrzej Cichocki and Hovagim BakardjianAnthony Okafor and Panos Pardalos and Michelle RagleWeili Wu and Yingshu Li and Chih-hao Huang and Ding-Zhu DuMusa Mammadov and Alex Rubinov and John YearwoodLiang Chen and Jia Zeng and Jian PeiHyunki Kim and Su-Shing ChenM.W. Brauner and N. Brauner and P.L. Hammer and I. Lozina and D. ValeyreGiacomo Patrizi and Gabriella Addonisio and Costas Giannakakis and Andrea Onetti Muda and Gregorio Patrizi and Tullio FaraggianaGiacomo Patrizi and Gregorio Patrizi and Luigi Di Cioccio and Claudia BaucoBudi Santosa and Tyrrell Conway and Theodore TrafalisCláudio N. Meneses and Carlos A.S. Oliveira and Panos M. PardalosMaria Luisa Chiusano and Luigi Frusciante and Gerardo ToraldoJian-Bo Gao and Yinhe Cao and Wen-wen TungHalima Bensmail and O. John Semmes and Abdelali HaoudiSu-Shing Chen and William E. Haskins and Andrew K. Ottens and Ronald L. Hayes and Nancy Denslow and Kevin K.W. WangG. Ceci and A. Mucherino and M. D'Apuzzo and D. Di Serafino and S. Costantini and A. Facchiano and G. ColonnaBala Krishnamoorthy and Scott Provan and Alexander TropshaW. Chaovalitwongse and P.M. Pardalos and L.D. Iasemidis and W.Suharitdamrong and D.-S. Shiau and L.K. Dance and O.A. Prokopyev and V.L.Boginski and P.R. Carney and J.C. SackellaresS. Sabesan and K. Narayanan and A. Prasad and L. D. Iasemidis and A. Spanias and K. TsakalisPanos M. Pardalos and Vitaliy A. YatsenkoD.-S. Shiau and L.D. Iasemidis and M.C.K. Yang and P.M. Pardalos and P.R.Carney and L.K. Dance and W. Chaovalitwongse and J.C. SackellaresS.P. Nair and D.-S. Shiau and L.D. Iasemidis and W.M. Norman and P.M. Pardalos and J.C. Sackellares and P.R. CarneyOleg A. Prokopyev and Vladimir L. Boginski and Wanpracha Chaovalitwongse and Panos M. Pardalos and J. Chris Sackellares and Paul R. Carney

Preface	p. ix
List of Contributors	p. xi
Part I Recent Methodological Developments for Data Mining Problems in Biomedicine
Pattern-Based Discriminants in the Logical Analysis of Data	p. 3
Exploring Microarray Data with Correspondence Analysis	p. 25
An Ensemble Method of Discovering Sample Classes Using Gene Expression Profiling	p. 39
CpG Island Identification with Higher Order and Variable Order Markov Models	p. 47
Data Mining Algorithms for Virtual Screening of Bioactive Compounds	p. 59
Sparse Component Analysis: a New Tool for Data Mining	p. 91
Data Mining Via Entropy and Graph Clustering	p. 117
Molecular Biology and Pooling Design	p. 133
An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier	p. 141
Classifying Noisy and Incomplete Medical Data by a Differential Latent Semantic Indexing Approach	p. 169
Ontology Search and Text Mining of MEDLINE Database	p. 177
Part II Data Mining Techniques in Disease Diagnosis
Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias	p. 193
Diagnosis of Alport Syndrome by Pattern Recognition Techniques	p. 209
Clinical Analysis of the Diagnostic Classification of Geriatric Disorders	p. 231
Part III Data Mining Studies in Genomics and Proteomics
A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis	p. 261
Mathematical Programming Formulations for Problems in Genomics and Proteomics	p. 275
Inferring the Origin of the Genetic Code	p. 291
Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics	p. 321
Clustering Proteomics Data Using Bayesian Principal Component Analysis	p. 339
Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining	p. 363
Part IV Characterization and Prediction of Protein Structure
Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach	p. 391
A Topological Characterization of Protein Structure	p. 431
Part V Applications of Data Mining Techniques to Brain Dynamics Studies
Data Mining in EEG: Application to Epileptic Brain Disorders	p. 459
Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain	p. 483
Reconstruction of Epileptic Brain Dynamics Using Data Mining Techniques	p. 505
Automated Seizure Prediction Algorithm and its Statistical Assessment: A Report from Ten Patients	p. 517
Seizure Predictability in an Experimental Model of Epilepsy	p. 535
Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling	p. 559
Index	p. 575