Compares adjusted p-values from two SplineOmics result objects across standard categories. Calculates Spearman correlation globally and for significant hits only, generates diagnostic plots, and summarizes overlap statistics including Jaccard index and hit counts.
Note: The feature_names columns in the topTables of splineomics1 and splineomics2 must have the same names, otherwise, no comparisons are possible.
Usage
compare_results(
splineomics1,
splineomics2,
splineomics1_description = "SplineOmics_1",
splineomics2_description = "SplineOmics_2",
adj_p_tresh1 = 0.05,
adj_p_tresh2 = 0.05
)Arguments
- splineomics1
A list containing `limma_splines_result` with topTables organized by category and subcategory.
- splineomics2
Same structure as `splineomics1`; the object to compare.
- splineomics1_description
Character label used for x-axis annotation.
- splineomics2_description
Character label used for y-axis annotation.
- adj_p_tresh1
Numeric p-value threshold for calling hits in analysis 1.
- adj_p_tresh2
Numeric p-value threshold for calling hits in analysis 2.