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    Create Graphs: Bootstrap Ξ”AUC Distribution (PWAS proteins)

    I can’t plot the PWAS protein bootstrap Ξ”AUC distribution because the provided research data contains no per-protein Ξ”AUC values (nor bootstrap replicate distributions) for PWAS proteins. The only explicit AUC/bootstrapped AUC numbers in your input are cohort-level (e.g., a 15-protein panel AUC with a single bootstrapped AUC value), which is insufficient to produce a β€œDeltaAUC distribution for PWAS proteins.”

    What I need (minimal, non-simulated) to generate the requested plot

    • PWAS protein list (protein identifiers matching your PWAS definition).
    • For each PWAS protein: the Ξ”AUC computed against your baseline (e.g., Ξ”AUC = AUC(model) βˆ’ AUC(baseline)).
    • Bootstrap distribution: either (a) the set of bootstrap Ξ”AUC values per protein, or (b) enough summary statistics to reconstruct the intended distribution without guessing (but raw bootstrap replicates are preferred).
    If your data file already contains something like protein, bootstrap_id, delta_auc, paste it or upload it and I will plot the empirical bootstrap distribution immediately.

    Plotly figure placeholder status

    Because there is no PWAS Ξ”AUC bootstrap dataset in the provided input, I’m leaving the Plotly container(s) empty to avoid plotting invented/simulated values (which would be scientifically invalid).

    Quick next step

    Upload/paste the PWAS protein Ξ”AUC bootstrap values (raw). Then I will generate: (1) a histogram/violin of Ξ”AUC across bootstrap replicates, (2) per-protein density/rug plot, and (3) a summary panel showing mean/median and confidence intervals.


    Feedback:    

    Updated: March 28, 2026

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     Analysis Wizard



    It will ingest your PWAS protein bootstrap Ξ”AUC table, compute empirical Ξ”AUC distributions and per-protein summary stats, then render publication-ready Plotly histograms/violin plots without simulation.



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    Create Graphs: Plot Bootstrap DeltaAUC Distribution for PWAS Proteins Science Art

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