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Understanding 'Resolution' in Clustering
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Classroom Contents
How to Analyze Single-Cell RNA-Seq Data in R - Detailed Seurat Workflow Tutorial
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- 1 Intro
- 2 Download data from 10X Genomics website
- 3 Read counts matrix
- 4 Create a Seurat Object
- 5 Quality Control
- 6 Filtering
- 7 Normalization
- 8 '@commands' slot
- 9 Find Variable Features
- 10 Scale data
- 11 Difference between @counts, @data and @scale.data slots
- 12 Linear dimensionality reduction PCA
- 13 Determine the dimensionality of the dataset
- 14 Clustering
- 15 Understanding 'Resolution' in Clustering
- 16 Non-linear dimensionality reduction UMAP
