singleOutput: Analysis results for single pair: visualization outputs
In matianzhou/CAMO: Perform congruent analysis among model organisms

Description Usage Arguments Value Examples

Analysis results for single pair: visualization outputs for each pathway The singleOutput is function to generate visualization outputs for single pair: including heatmap of gene posterior mean, kegg pathway topology for each pathway

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singleOutput(mcmc.merge.list, dataset.names, select.pathway.list,
  output = c("genePM", "keggView"), kegg_pathname = NULL,
  hs_gene_id = NULL)

`mcmc.merge.list:`	a list of merged MCMC output matrices.
`select.pathway.list:`	a list of selected pathways (containing gene components).
`dataset.names:`	a vector of dataset names.
`output:`	two options: "genePM" (generating heatmap of gene posterior mean),"keggView" (generating kegg pathway topology, human KEGG only). cannot be empty.
`kegg_pathname:`	KEGG pathway name list. For "keggView" only.
`hs_gene_id:`	Human sapiens gene id. For "keggView" only.

stored output in created folders.

## Not run: 
#mcmc.merge.list from the merge step
#select.pathway.list from the pathSelect step
dataset.names = c("hb","mb")
library(KEGG.db)
kegg_pathname <- unlist(as.list(KEGGPATHID2NAME))
library("org.Hs.eg.db")
hs_gene_id <- unlist(mget(x=rownames(mcmc.merge.list[[1]]),
envir=org.Hs.egALIAS2EG))
singleOutput(mcmc.merge.list,dataset.names,select.pathway.list,
output=c("genePM","keggView"))

## End(Not run)