Exploring scRNA-seq data from 5 cancer cell lines with scBubbletree
Background | Data^1 | Data processing | scBubbletree workflow | Determine the clustering resolution (step 1) | Determining the resolution parameter $r$ for Louvain clustering | Determining the number of clusters $k$ for k-means clustering [alternative] | Clustering (step 2) and hierarchical grouping (step 3) of bubbles | Clustering with Louvain | Clustering with k-means ([alternative]) | Comparison of bubbletree based on Louvain and k-means clustering | Visual comparison of two bubbletrees | Visualization (step 4) | Attaching categorical features | Gini impurity index | Attaching numeric features | Quality control with r Biocpkg("scBubbletree") | scBubbletree can incorporate results from other clustering approaches | Adding custom visuals: cell-cell communication | Visualizing features of individual cells | Summary | Session Info
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