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

Intro

1 of 16

1 of 16

Intro

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

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

Automatically move to the next video in the Classroom when playback concludes

  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

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.