kda.finish.save: Save full wKDA results
In zeynebkurtUCLA/Mergeomics: Integrative network analysis of omics data

Description Usage Arguments Value Author(s) References See Also Examples

kda.finish.save sorts (according to KD p-values) and saves the wKDA results into specified files and folders.

1	kda.finish.save(res, job)

`res`	the results obtained from `kda.finish.estimate`. They will be stored into specified folder.
`job`	information including the entire graph, nodes, modules, co-hubs, top key driver of each module, and their updated and sorted p-values. All the information included `job` will be stored into relevant files.

res

the results obtained from kda.finish.estimate are merged with the module and graph nodes information gained from job data frame. At the end, merged information is both written to file and returned to the user.

Ville-Petteri Makinen

Shu L, Zhao Y, Kurt Z, Byars SG, Tukiainen T, Kettunen J, Orozco LD, Pellegrini M, Lusis AJ, Ripatti S, Zhang B, Inouye M, Makinen V-P, Yang X. Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems. BMC genomics. 2016;17(1):874.

kda.finish, kda.finish.estimate, kda.finish.summarize, kda.finish.trim

## get the prepared and KDA applied dataset:(see kda.analyze for details)
data(job_kda_analyze)
## finish the KDA process by estimating additional measures for the modules
## such as module sizes, overlaps with hub neighborhoods, etc.
# job.kda <- kda.finish(job.kda)
# if (nrow(job.kda$results)==0){
# cat("No Key Driver Found!!!!")
# } else{
##  Estimate additional measures - see kda.analyze and kda.finish for details
#   res <- kda.finish.estimate(job.kda)
##  Save full results about modules such as co-hub, nodes, P-values info etc.
#   res <- kda.finish.save(res, job.kda)
# }