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Single cell RNA-seq analysis using Python

    • Overview
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    • Course Content
    • Planing your experiment
      • Wet-lab overview 
      • Dry-lab overview
      • Experimental design
    • Processing data
      • Raw reads to expression matrix
      • QC, pre-processing and normalisation
      • Single cell Expression Atlas and single cell data submission
    • Analysing data
      • Designing your analysis
      • Dimensionality reduction, clustering, and annotation
      • Batch correction and data integration
      • Spatial transcriptomics
      • Abundance and differential expression
    • Technical help sheet
    • Trainer biographies
    • Further learning
    • Your feedback