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Beskrivning
This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analysis.
1. Introduction to bioinformatics.- 2. Protocol for DNA microarrays on glass slides.- 3. Data warehousing with TargetMine for omics data analysis.- 4. A review of microarray datasets: where to find them and specific characteristics.- 5. Statistical analysis of microarray data.- 6. Feature selection applied to microarray data.- 7. Cluster analysis of microarray data.- 8. Classification of microarray data.- 9. Microarray data normalization and robust detection of rhythmic features.- 10. HPC tools to deal with microarray data.- 11. ROC curves for the statistical analysis of microarray data.- 12. Missing values imputation algorithms for microarray gene expression data.- 13. Computer tools to analyze microarray data.- 14. Challenges and future trends for microarray analysis.
Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso
Javier Bajo, Josefa Z. Hernández, Philippe Mathieu, Andrew Campbell, Antonio Fernández-Caballero, María N. Moreno, Vicente Julián, Amparo Alonso-Betanzos, María Dolores Jiménez-López, Vicente Botti