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Single cell RNA-seq data analysis with Chipster

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  3. Bioinformatics
  4. scRNAseqChipster
  5. 2. Introduction to scRNA-seq
  6. Discussion: What is your data like?

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  • Home
  • Back to course
  • About the course
  • 1. Introduction to Chipster
  • 2. Introduction to scRNA-seq
  • 3. Set up a Seurat object and check the quality of cells
  • 4. Normalize gene expression values
  • 5. Identify highly variable genes
  • 6. Scale data and regress out unwanted sources of variation
  • 7. Dimension reduction
  • 8. Cluster cells and detect marker genes for clusters
  • 9. Comparing two samples
  • 10. Test your skills
  • Course certificate and feedback
  • Calendar
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scRNAseqChipster
  • English ‎(en)‎
    • English ‎(en)‎
    • Suomi ‎(fi)‎
    • Svenska ‎(sv)‎
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