# generic methods for "DpeakData" class
setMethod(
f="show",
signature="DpeakMotif",
definition=function( object ) {
# extract objects
motifIden <- object@motif
locMotif <- object@locMotif
if ( all(is.na(unlist(locMotif))) ) {
# if no peak includes a motif
cat( "------------------------------------------------------------\n" )
cat( "Info: Preprocessing summary\n" )
cat( "------------------------------------------------------------\n" )
cat( "Identified motif:\n", sep="" )
for ( i in 1:length(motifIden) ) {
cat( "\t",motifIden[i],"\n", sep="" )
}
cat( "Note: No peak contains detected motifs.\n")
cat( "------------------------------------------------------------\n" )
} else {
# info about preprocessing
# - identified motif, # detected motifs
listMotifVec <- list()
k <- 1
for ( i in 1:length(locMotif) ) {
if ( !is.na(locMotif[[i]][1]) ) {
listMotifVec[[k]] <- locMotif[[i]]
k <- k + 1
}
}
cat( "------------------------------------------------------------\n" )
cat( "Info: Preprocessing summary\n" )
cat( "------------------------------------------------------------\n" )
cat( "Identified motif:\n", sep="" )
for ( i in 1:length(motifIden) ) {
cat( "\t",motifIden[i],"\n", sep="" )
}
cat( "Number of peaks containing detected motifs: ",length(listMotifVec),"\n", sep="" )
cat( "Number of peaks missing detected motifs: ",( length(locMotif) - length(listMotifVec) ),"\n", sep="" )
cat( "Median number of regulatory sequences in each peak: ",median( sapply( listMotifVec, length ) ),"\n", sep="" )
cat( "\t(after excluding peaks missing detected motifs)\n" )
cat( "------------------------------------------------------------\n" )
}
}
)
setMethod(
f="print",
signature="DpeakMotif",
definition=function( x ) {
warning( "'print' method for 'DpeakMotif' class is not supported yet." )
}
)
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