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Clustering and Cell Annotation
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Classroom Contents
Single Cell Analysis in Computational Biology - Lecture 3
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- 1 Intro
- 2 Bulk vs. Single-Cell
- 3 Why Single Cells
- 4 scRNA-seq Technologies
- 5 scRNA-seq Biological Questions
- 6 84k cells from 48 individuals
- 7 Cleaning up Data
- 8 Clustering and Cell Annotation
- 9 DEGs Gene Expression Changes with Phenotypes
- 10 Multi-Region Analysis
- 11 Module Analysis
- 12 Q1: Why Modules instead of single-genes
- 13 Q2: Difference from Bulk
- 14 Q3: Robustness and Reproducibility
- 15 Linked Regions Correlation
- 16 Discrepancies between Phenotype and Transcriptome
- 17 scRNA-seq Analysis Questions
- 18 Cell-Projected Phenotypes
