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Pardalos, Panos M.

Data Mining in Biomedicine

Pardalos, Panos M. - Data Mining in Biomedicine, e-kirja

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Table of contents

Part I. Recent Methodological Developments for Data Mining Problems in Biomedicine

1. Pattern-Based Discriminants in the Logical Analysis of Data
Sorin Alexe, Peter L. Hammer

2. Exploring Microarray Data with Correspondence Analysis
Stanislav Busygin, Panos M. Pardalos

3. An Ensemble Method of Discovering Sample Classes Using Gene Expression Profiling
Dechang Chen, Zhe Zhang, Zhenqiu Liu, Xiuzhen Cheng

4. CpG Island Identification with Higher Order and Variable Order Markov Models
Zhenqiu Liu, Dechang Chen, Xue-wen Chen

5. Data Mining Algorithms for Virtual Screening of Bioactive Compounds
Mukund Deshpande, Michihiro Kuramochi, George Karypis

6. Sparse Component Analysis: a New Tool for Data Mining
Pando Georgiev, Fabian Theis, Andrzej Cichocki, Hovagim Bakardjian

7. Data Mining Via Entropy and Graph Clustering
Anthony Okafor, Panos Pardalos, Michelle Ragle

8. Molecular Biology and Pooling Design
Weili Wu, Yingshu Li, Chih-hao Huang, Ding-Zhu Du

9. An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier
Musa Mammadov, Alex Rubinov, John Yearwood

10. Classifying Noisy and Incomplete Medical Data by a Differential Latent Semantic Indexing Approach
Liang Chen, Jia Zeng, Jian Pei

11. Ontology Search and Text Mining of MEDLINE Database
Hyunki Kim, Su-Shing Chen

Part II. Data Mining Techniques in Disease Diagnosis

12. Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias
M. W. Brauner, N. Brauner, P. L. Hammer, I. Lozina, D. Valeyre

13. Diagnosis of Alport Syndrome by Pattern Recognition Techniques
Giacomo Patrizi, Gabriella Addonisio, Costas Giannakakis, Andrea Onetti Muda, Gregorio Patrizi, Tullio Faraggiana

14. Clinical Analysis of the Diagnostic Classification of Geriatric Disorders
Giacomo Patrizi, Gregorio Patrizi, Luigi Cioccio, Claudia Bauco

Part III. Data Mining Studies in Genomics and Proteomics

15. A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis
Budi Santosa, Tyrrell Conway, Theodore Trafalis

16. Mathematical Programming Formulations for Problems in Genomics and Proteomics
Cláudio N. Meneses, Carlos A. S. Oliveira, Panos M. Pardalos

17. Inferring the Origin of the Genetic Code
Maria Luisa Chiusano, Luigi Frusciante, Gerardo Toraldo

18. Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics
Jian-Bo Gao, Yinhe Cao, Wen-wen Tung

19. Clustering Proteomics Data Using Bayesian Principal Component Analysis
Halima Bensmail, O. John Semmes, Abdelali Haoudi

20. Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining
Su-Shing Chen, William E. Haskins, Andrew K. Ottens, Ronald L. Hayes, Nancy Denslow, Kevin K. W. Wang

Part IV. Characterization and Prediction of Protein Structure

21. Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach
G. Ceci, A. Mucherino, M. D’Apuzzo, D. Serafino, S. Costantini, A. Facchiano, G. Colonna

22. A Topological Characterization of Protein Structure
Bala Krishnamoorthy, Scott Provan, Alexander Tropsha

Part V. Applications of Data Mining Techniques to Brain Dynamics Studies

23. 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, J. C. Sackellares

24. Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain
S. Sabesan, K. Narayanan, A. Prasad, L. D. Iasemidis, A. Spanias, K. Tsakalis

25. Reconstruction of Epileptic Brain Dynamics Using Data Mining Techniques
Panos M. Pardalos, Vitaliy A. Yatsenko

26. 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, J. C. Sackellares

27. 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, P. R. Carney

28. 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, Paul R. Carney

Avainsanat: Biomedicine, Biomedicine general, Applications of Mathematics, Operations Research, Mathematical Programming, Biomedical Engineering, Statistics for Life Sciences, Medicine, Health Sciences

Tekijä(t)
 
 
Julkaisija
Springer
Julkaisuvuosi
2007
Kieli
en
Painos
1
Sarja
Springer Optimization and Its Applications
Sivumäärä
596 sivua
Kategoria
Terveys, kauneus, muoti
Tiedostomuoto
E-kirja
eISBN (PDF)
9780387693194

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