Fundamentals of Data Mining in Genomics and Proteomics

1. Introduction to Genomic and Proteomic Data Analysis
Daniel Berrar, Martin Granzow, Werner Dubitzky

2. Design Principles for Microarray Investigations
Kathleen F. Kerr

3. Pre-Processing DNA Microarray Data
Benjamin M. Bolstad

4. Pre-Processing Mass Spectrometry Data
Kevin R. Coombes, Keith A. Baggerly, Jeffrey S. Morris

5. Visualization in Genomics and Proteomics
Xiaochun Li, Jaroslaw Harezlak

6. Clustering — Class Discovery in the Post-Genomic Era
Joaquín Dopazo

7. Feature Selection and Dimensionality Reduction in Genomics and Proteomics
Milos Hauskrecht, Richard Pelikan, Michal Valko, James Lyons-Weiler

8. Resampling Strategies for Model Assessment and Selection
Richard Simon

9. Classification of Genomic and Proteomic Data Using Support Vector Machines
Peter Johansson, Markus Ringnér

10. Networks in Cell Biology
Carlos Rodríguez-Caso, Ricard V. Solé

11. Identifying Important Explanatory Variables for Time-Varying Outcomes
Oliver Bembom, Maya L. Petersen, Mark J. Laan

12. Text Mining in Genomics and Proteomics
Robert Hoffmann

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Keywords: SCIENCE / Life Sciences / Biology / General SCI008000