| kda.start.identify {Mergeomics} | R Documentation |
kda.start.identify searches the members of dat among
the members of labels with respect to the varname attribute,
returns the matching rows of the dat.
kda.start.identify(dat, varname, labels)
dat |
data list of the identities that will be searched |
varname |
search will be performed with respect to which attribute (MODULE or NODE) |
labels |
the place, where data list (i.e. |
res |
matched rows of |
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.analyze, kda.finish,
kda.prepare, kda.start
## Converts identities (either module names or gene names) to the indices
aa<- data.frame(MODULE=c("Mod1", "Mod1", "Mod2", "Mod2", "Mod3"),
NODE=c("GeneA", "GeneC", "GeneB", "GeneC", "GeneA"))
aa
bb <- kda.start.identify(aa, "MODULE", c("Mod1"))
bb
cc <- kda.start.identify(aa, "MODULE", c("Mod1", "Mod3"))
cc
dd <- kda.start.identify(aa, "NODE", c("GeneA"))
dd