run_consensus: Consensus score between methods

In saezlab/decoupleR: decoupleR: Ensemble of computational methods to infer biological activities from omics data

Consensus score between methods

Description

Function to generate a consensus score between methods from the result of the decouple function.

Usage

run_consensus(df, include_time = FALSE, seed = NULL)

Arguments

df	decouple data frame result
include_time	Should the time per statistic evaluated be informed?
seed	Deprecated parameter.

Value

Updated tibble with the computed consensus score between methods

Examples

inputs_dir <- system.file("testdata", "inputs", package = "decoupleR")
mat <- readRDS(file.path(inputs_dir, "mat.rds"))
net <- readRDS(file.path(inputs_dir, "net.rds"))

results <- decouple(
   mat = mat,
   network = net,
   .source = "source",
   .target = "target",
   statistics = c("wmean", "ulm"),
   args = list(
            wmean = list(.mor = "mor", .likelihood = "likelihood"),
            ulm = list(.mor = "mor", .likelihood = "likelihood")
        ),
   consensus_score = FALSE,
   minsize = 0
   )
run_consensus(results)

saezlab/decoupleR documentation built on Oct. 21, 2024, 8:47 a.m.