get_single_prop_data: Supportive function to infer the networks and the profiles...

In LucaGiudice/Esearch3D: Leveraging gene expression and chromatin architecture to predict intergenic enhancers

Description

Supportive function to infer the networks and the profiles needed in the single gene propagation

Usage

get_single_prop_data(
  gf_net,
  ff_net,
  input_m,
  dist_m,
  gene_in,
  frag_pattern = "Frag",
  degree = 2
)

Arguments

gf_net	Edge list representing a network such that first column are genes and second column are "FragX" fragments
ff_net	Edge list representing a network such that first and second column are "FragX" fragments
input_m	Numeric matrix of cell profiles
dist_m	Distance matrix computed between the genes and the non-genic fragments in the network
gene_in	Character vector of the genes of interest
frag_pattern	Character string to identify the fragments in the edge list (e.g. "FragX")
degree	Default 2, the degree of distance which is used to select the most important fragments connected to the genes of interest

Value

A list with elements describing the input data which are by the method

LucaGiudice/Esearch3D documentation built on Dec. 17, 2021, 1:12 a.m.