Microarray Bioinformatics
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. Featuring perspectives from biology, comp...
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Humana
2019, 2019
|
| Edition: | 1st ed. 2019 |
| Series: | Methods in Molecular Biology
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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