kda2cytoscape.identify {Mergeomics} | R Documentation

## Match identities with respect to given variable name

### Description

`kda2cytoscape.identify` searches the given data list `dat` within the `labels` according to the specified attribute (variable name). It returns the matched rows. Hence, it finds identifier numbers for the searched data list `dat`.

### Usage

    kda2cytoscape.identify(dat, varname, labels)

### Arguments

`dat` | node ID list whose symbols or names will be collected from network node name (or symbol) list.
`varname` | specifies that `dat` will be searched among `labels` according to which variable (attribute). Here, gene symbols whose IDs are given, will be searched in the causal network node list according to the NODE attribute.
`labels` | the data list possibly including names or symbols corresponding to the given IDs in the `dat` data list.

### Value

`res` | the matching rows of `labels` with the identifiers of given data list `dat`

### Author(s)

Zeyneb Kurt

### 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

`kda2cytoscape`

### 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 <- kda2cytoscape.identify(aa, "MODULE", c("Mod1"))
    bb
    cc <- kda2cytoscape.identify(aa, "MODULE", c("Mod1", "Mod3"))
    cc
    dd <- kda2cytoscape.identify(aa, "NODE", c("GeneA"))
    dd

[Package Mergeomics version 1.10.0 Index]