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Table of Contents
Preface
Introduction: why study transcriptomics?
1. Data distribution and visualisation
2. Next-generation RNA sequencing
3. RNA-seq raw data processing
4. Differentially expressed gene detection & analysis
5. Unbiased clustering methods
6. Knowledge-based clustering methods
7. Network analysis
8. Mesoscale transcriptome analysis
9. Microscale transcriptome analysis
Bibliography
Index.
Introduction: why study transcriptomics?
1. Data distribution and visualisation
2. Next-generation RNA sequencing
3. RNA-seq raw data processing
4. Differentially expressed gene detection & analysis
5. Unbiased clustering methods
6. Knowledge-based clustering methods
7. Network analysis
8. Mesoscale transcriptome analysis
9. Microscale transcriptome analysis
Bibliography
Index.