# Load the ARTIVA R package
library(ARTIVA)
# Load the simulated profiles dataset
data(simulatedProfiles)
# Name of the target gene to be analyzed with ARTIVA
targetGene = 1
# Names of the parent genes (typically transcription factors)
parentGenes = c("TF1", "TF2", "TF3", "TF4", "TF5")
# Plot of the gene expression profiles for target gene and parent genes
traceGeneProfiles(targetData= simulatedProfiles[targetGene,],
parentData= simulatedProfiles[parentGenes,])
###
# ARTIVA analysis searching for potential interactions between the target
# genes and a predefined list of parent genes.
###
# Note that the number of iterations in the RJ-MCMC sampling is reduced
# to in this example to 'niter=20000' in order obtain a quick overview of
# the ARTIVAnet fonction, but it should be increased (e.g. up to 50000)
# for a better parameter estimation.
## Not run:
# ARTIVAtest = ARTIVAsubnet(targetData = simulatedProfiles[targetGene,],
# parentData = simulatedProfiles[parentGenes,],
# targetName = targetGene,
# parentNames = parentGenes,
# niter = 5000,
# savePictures = FALSE)
# ## End(Not run)
Run the code above in your browser using DataLab