How to Analyze Single-Cell RNA-Seq Data in R - Detailed Seurat Workflow Tutorial

How to Analyze Single-Cell RNA-Seq Data in R - Detailed Seurat Workflow Tutorial

bioinformagician via YouTube Direct link

Determine the dimensionality of the dataset

13 of 16

13 of 16

Determine the dimensionality of the dataset

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How to Analyze Single-Cell RNA-Seq Data in R - Detailed Seurat Workflow Tutorial

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

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