R/node.map.R

In pathview: a tool set for pathway based data integration and visualization

node.map <-
function(mol.data=NULL, node.data, node.types=c("gene", "ortholog", "compound")[1], node.sum =c("sum","mean", "median", "max", "max.abs", "random")[1], entrez.gnodes=TRUE){
type.sel=node.data$type %in% node.types
if(sum(type.sel)<1){
  message("No specified node types in the pathway!")
  plot.data=NULL
  return(plot.data)
}
node.data=lapply(node.data, "[", type.sel)
n.nodes=length(node.data$kegg.names)
spacials=as.matrix(as.data.frame(node.data[c("type", "x", "y", "width", "height")]))
if(node.types[1]=="gene"){
kng=node.data$kegg.names[node.data$type=="gene"]
kng.char=gsub("[0-9]", "", unlist(kng))
if(any(kng.char>"")) entrez.gnodes=FALSE
}

na.plot.data=function(){
    sapply(1:n.nodes, function(i){
      kns=node.data$kegg.names[[i]]
    if(node.types[1]=="gene" & entrez.gnodes) items=as.numeric(kns)
    else items=kns
    ord=order(items)
    items=items[ord]
     kns=kns[ord]
      return(c(kns[1], spacials[i,], NA))
    })
  }

if(is.null(mol.data)){
  plot.data=na.plot.data()
} else{
  
#map gene data  
    if(is.character(mol.data)){
      gd.names=mol.data
      mol.data=rep(1, length(mol.data))
      names(mol.data)=gd.names
    }
    mol.data=cbind(mol.data)

    if(is.null(colnames(mol.data))) colnames(mol.data)=paste("ge", 1:ncol(mol.data),sep="")
    mapped.mols <- intersect(unlist(node.data$kegg.names), row.names(mol.data))
    if(length(mapped.mols)==0){
      message(paste("No of the genes or compounds mapped to the pathway!",
                    "Argument gene.idtype or cpd.idtype may be wrong.", sep="\n"))
      plot.data=na.plot.data()
    } else{
      if(node.types[1]=="gene" & entrez.gnodes) mapped.mols =as.numeric(mapped.mols)


      plot.data=sapply(1:n.nodes, function(i){
        kns=node.data$kegg.names[[i]]
        if(node.types[1]=="gene" & entrez.gnodes) items=as.numeric(kns)
        else items=kns
        ord=order(items)
        items=items[ord]
        kns=kns[ord]
        hit=items %in% mapped.mols 
        if(sum(hit)==0) {
          return(c(kns[1], spacials[i,], rep(NA, ncol(mol.data))))
        } else if(sum(hit)==1) {
          edata=mol.data[as.character(items[hit]),]
          return(c(kns[hit], spacials[i,], edata))
        } else {
          node.sum=eval(as.name(node.sum))
                                        #      edata=apply(cbind(mol.data[as.character(items[hit]),]), 2, node.sum, na.rm=T)
          edata=apply(cbind(mol.data[as.character(items[hit]),]), 2, function(x){
            x=x[!is.na(x)]
            if(length(x)<1) return(NA)
            else return(node.sum(x, na.rm=F))
          })
          return(c(kns[hit][1], spacials[i,], edata))
        }    
      })
    }
  }
colnames(plot.data)=names(node.data$kegg.names)
plot.data=as.data.frame(t(plot.data), stringsAsFactors = F)
  plot.data$labels=node.data$labels
  ncs=ncol(plot.data)
  plot.data=plot.data[,c(1,ncs,2:(ncs-1))]
  colnames(plot.data)[c(1,8:ncs)]=c("kegg.names",colnames(mol.data))
for(ic in (1:ncol(plot.data))[-c(1:3)]) plot.data[,ic]=as.numeric(plot.data[,ic])

return(plot.data)
}