run_consensus {decoupleR}R Documentation

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, "input-expr_matrix.rds"))
network <- readRDS(file.path(inputs_dir, "input-dorothea_genesets.rds"))

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

[Package decoupleR version 2.0.1 Index]