Skip to contents

Module-level evidence and citations for a cascade, selection or frame

Source: R/cascade_sets.R
dmsa_evidence.Rd

Every module label in the bundled cascade was checked against the literature. This returns what that check concluded, so a module-level finding can be reported with the strength of its own definition attached: whether the label was retained or revised, whether the locked membership is homogeneous, the evidence tier, and the citation keys behind it.

Usage

dmsa_evidence(x, which = c("all", "moderate", "flagged"))

Arguments

x

A dmsa_sets, dmsa_selection, or dmsa_frame.

which

"all", "moderate" (Moderate evidence only), or "flagged" (Moderate, heterogeneous, or measurement-defined).

Value

data.frame of class dmsa_evidence, one row per module.

Examples

# \donttest{
dmsa_evidence(dmsa_select(systems = "immune"), which = "flagged")
#> module evidence (3 modules)
#>  24.11   Moderate T-cell receptor loci and CCL2 chemotaxis   [Loz07]; [New12]
#>           status: renamed_for_mechanistic_precision 
#>  24.12   Moderate Leukocyte activation and inflammatory sign [Loz07]; [Pla18]
#>           status: renamed_from_association_label_to_process_label 
#>  24.13   Moderate CCL3 chemokine signaling                   [Loz07]; [New12]
#>           status: renamed_for_mechanistic_precision 
#>  evidence searches:
#>     https://app.undermind.ai/projects/4a4c1774-bd88-462d-889b-015f29a373b5?path=/Epigenetic%20immune%20ageing%20metabolic%20module%20evidence 
# }