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    • IFN Scoring Data

    As part of the HIRISA toolkit, we provide an online tool to compute IFN-α and IFN-γ scores for your own genes, as well as a Jupyter Notebook that provides instructions for performing this analysis yourself.

    To support these tools, we pre-computed IFN weight matrices for each cell type, and built a table of IFN-α and IFN-γ scores for a variety of diseases based on previously published scRNA-seq studies.

    Here, we provide a .zip file that contains all of the results necessary to score your own data, as well as the disease-specific score results. The structure of the files stored in the .zip are shown below:

     .zip contents
    data/ IFNa_IFNg_Stim_Matrices/ B Memory_IFNa_IFNg_log2FC_matrix.csv B Naive_IFNa_IFNg_log2FC_matrix.csv Bcell_IFNa_IFNg_log2FC_matrix.csv CD14 Monocyte_IFNa_IFNg_log2FC_matrix.csv ... Bcell_test_MAST_degs.csv cohort_celltype_IFN_scores.csv Monocyte_test_MAST_degs.csv NK_test_MAST_degs.csv Tcell_test_MAST_degs.csv

    Column descriptions for each set of files can be viewed by clicking on the header below:

    Log2FC matrices (in the IFNa_IFNg_Stim_Matrices/ subdirectory):
    These files were generated from HIRISA results, and are used to compute new cell type-specific scores.
    Gene: Gene symbol for each gene used to compute scores
    IFNa: Log2(Fold Change) values observed in IFN-α stimulation
    IFNg: Log2(Fold Change) values observed in IFN-γ stimulation

    Pre-computed cohort scores (cohort_celltype_IFN_scores.csv):
    These files were generated by using the HIRISA algorithm to score DEGs from multiple immunological conditions.
    Cohort: The cohort that was scored using HIRISA
    celltype: The L1 cell type scored
    avg_IFNa: The average IFN-α score among subjects in the cohort
    avg_IFNg: The average IFN-γ score among subjects in the cohort
    var_IFNa: The variance of IFN-α scores
    var_IFNg: The variance of IFN-γ scroes
    var_combined: The combined variance of IFN-α and IFN-γ scores

    Test DEG results (ending in MAST_degs.csv):
    These DEG results can be used to test HIRISA IFN scoring.
    Gene: The gene tested in DEG analysis
    log2FC: The log2(Fold Change) that can be used to compute IFN scores

    HIRISA IFN Score Reference Data
    File Name Description Download Link
    hirisa_scoring_data_2026-05-20.zip