singleARS_pathway: Resemblance analysis for single pair: pathway specific ARS...
In matianzhou/CAMO: Perform congruent analysis among model organisms

Description Usage Arguments Value Examples

Resemblance analysis for single pair: pathway specific ARS and their permuted p-value The singleARS_pathway is function to perform resemblance analysis for single pair, generating pathway specific ARS and their permuted p-value.

1 2	singleARS_pathway(mcmc.merge.list, select.pathway.list, measure = "Fmeasure", parallel = F, cpu = 2, B = 50)

`mcmc.merge.list:`	a list of merged MCMC output matrices.
`select.pathway.list:`	a list of selected pathways (containing gene components).
`measure:`	three types of ARS measures to be used: "youden", "Fmeasure","geo.mean". Default is "Fmeasure".
`parallel:`	whether to perform parallel computing in permutation.
`cpu:`	if parallel=T, how many cpus to be used.
`B:`	number of permutations.

a data frame of pathway specific ARS values and their permuted p-value (pathway on rows, 1st column being ARS value and 2nd column being the p-values), in addition, the dataframe is written to the folder named "arsPathway".

## Not run: 
#mcmc.merge.list from the merge step
#select.pathway.list from the pathSelect step
ARS_pathway <- singleARS_pathway(mcmc.merge.list,select.pathway.list,B=100)

## End(Not run)