generate_nulls: Generate null distributions of motif counts for each motif...

In almeidasilvaf/magrene: Motif Analysis In Gene Regulatory Networks

Generate null distributions of motif counts for each motif type

Description

Generate null distributions of motif counts for each motif type

Usage

generate_nulls(
  edgelist = NULL,
  paralogs = NULL,
  edgelist_ppi = NULL,
  n = 1000,
  bp_param = BiocParallel::SerialParam()
)

Arguments

edgelist	A 2-column data frame with regulators in column 1 and targets in column 2.
paralogs	A 2-column data frame with gene IDs for each paralog in the paralog pair.
edgelist_ppi	A 2-column data frame with IDs of genes that encode each protein in the interacting pair.
n	Number of degree-preserving simulated networks to generate. Default: 1000.
bp_param	BiocParallel back-end to be used. Default: BiocParallel::SerialParam().

Value

A list of numeric vectors named lambda, delta, V, PPI_V, and bifan, containing the null distribution of motif counts for each motif type.

Examples

set.seed(123)
data(gma_grn)
data(gma_paralogs)
data(gma_ppi)
edgelist <- gma_grn[500:1000, 1:2] # reducing for test purposes
paralogs <- gma_paralogs[gma_paralogs$type == "WGD", 1:2]
edgelist_ppi <- gma_ppi
n <- 2 # small n for demonstration purposes
generate_nulls(edgelist, paralogs, edgelist_ppi, n)

almeidasilvaf/magrene documentation built on March 16, 2023, 4:29 a.m.