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  "Title": "Clustering of Immune Receptor Repertoires",
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      "title": "Decoding T- and B-cell receptor repertoires with ClustIRR",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation",
        "System requirements",
        "ClustIRR algorithm",
        "Input",
        "Algorithm",
        "Step 1. Compute TCR clonotype similarities in a repertoire with cluster_irr",
        "Step 2-3. Construct TCR repertoire graphs and join them into $J$",
        "Run steps 1-3 with clustirr",
        "Inspect the content of clust_irrs",
        "Inspect graphs with plot_graph",
        "You can evaluate $J$ with igraph",
        "Step 4. community detection with detect_communities",
        "Inspecting the outputs of detect_communities",
        "Qualitative similarity between community abundance vectors with get_honeycombs",
        "Quantitative similarity between community abundance vectors with get_cosine_similarity",
        "Summary of communities is provided in the detect_communities outputs",
        "Special functions: decoding communities with decode_community",
        "Step 5. differential community occupancy (DCO) with dco",
        "Step 6. Inspect results",
        "Visualizing the distribution of $\\beta$ with get_beta_violin_ag",
        "Compare $\\beta$s of clonotypes specific for CMV, EBV, flu or MLANA?",
        "Posterior predictive checks",
        "Differential community abundance results $\\rightarrow$ par. $\\delta$",
        "Conclusion: you can also use custom community occupancy matrix for DCO!"
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      "created": "2026-01-05 16:13:08",
      "modified": "2026-04-10 10:48:11",
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      "created": "2026-01-05 16:13:08",
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