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  • Identify Highly Variable Features
  • Scale the Data

  • Select Dimensions using PCA
  • Cluster the cells
  • Find markers for each cluster
  • Visualize the clusters using tSNE or UMAP


You can get the data and R script from ls5 here:

/work/01184/daras/rnaseq_course_2016/day_5_single_cell_data

The script: seuratTotalScript5k.R

The data: filtered_feature_bc_matrix