diffusionMap: Diffusion model

In Amy3100/receptor2tfDiffusion: This package calculate single-sample network connectivity

Description

This function calculates single-sample network connectivity by using aggregate accumulation of signal per node as a function of time.

Usage

diffusionMap(receptors, TFs, M, network, nCores = 2, nTicks = 2000)

Arguments

receptors	vector of string with ids.
TFs	vector of string with gene ids of Transcription Factors
M	gene expression data
network	a dataframe of two columns "from" and "to" with strings representing gene IDs
nCores	number of cores for parallel processing
nTicks	maximum number of time steps. Defaults to 2000.

Value

list of two components: Enode which is end node and Signal i.e. final state of network

Examples

data(diffusionData)
# TFs <- diffusionData$TFs
# diffusionMap <- function(receptors, TFs, M, network, nCores=2, nTicks=2000)
#{ ... }

Amy3100/receptor2tfDiffusion documentation built on Dec. 17, 2021, 8:47 a.m.