kda.start.identify {Mergeomics} | R Documentation

## Convert identities to indices for wKDA

### Description

`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`.

### Usage

    kda.start.identify(dat, varname, labels)

### Arguments

`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. `dat`) will be searched

### Value

`res` | matched rows of `dat` among the members of `labels` list according to the `varname` attribute

### Author(s)

Ville-Petteri Makinen

### References

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.

### See Also

`kda.analyze`, `kda.finish`, `kda.prepare`, `kda.start`

### Examples

    ## 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

[Package Mergeomics version 1.10.0 Index]