Get candidate genes using the footprint filter

Get candidate genes using the footprint filter

# S4 method for FootprintFilter
getCandidates(obj)

Arguments

obj	An object of class FootprintFilter

Value

A list, where one element is the transcription factors found in the footprints and the other is a data frame containing all the meta data for the footprints

See also

FootprintFilter

Other getCandidate Methods: getCandidates,GeneOntologyFilter-method, getCandidates,HumanDHSFilter-method, getCandidates,VarianceFilter-method, getCandidates()

Examples

# Use footprint filter with the included SQLite database for MEF2C to filter candidates
# in the included Alzheimer's dataset, using the Trena object to get regions
if (FALSE) {
   target.gene <- "MEF2C"
   db.address <- system.file(package="trena", "extdata")
   genome.db.uri <- paste("sqlite:/",db.address,"mef2c.neighborhood.hg38.gtfAnnotation.db", sep = "/")
   project.db.uri <- paste("sqlite:/",db.address,"mef2c.neigborhood.hg38.footprints.db", sep = "/")
   size.upstream <- 1000
   size.downstream <- 1000
      # Construct a Trena object and use it to retrive the regions
   trena <- Trena("hg38")
   regions <- getProximalPromoter(trena,target.gene, size.upstream, size.downstream)
   footprint.filter <- FootprintFilter(genomeDB = genome.db.uri, footprintDB = project.db.uri,
                                       regions = regions)
   footprints <- getCandidates(footprint.filter)
   }