Microarray Bioinformatics /
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Methods in Molecular Biology,
1986 |
| Subjects: |
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.