dtnetplot {signatureSearch} | R Documentation

## Drug-Target Network Visualization

### Description

Functional modules of GESS and FEA results can be rendered as interactive drug-target networks using the `dtnetplot` function form `signatureSearch`. For this, a character vector of drug names along with an identifier of a chosen functional category are passed on to the drugs and set arguments, respectively. The resulting plot depicts the corresponding drug-target interaction network. Its interactive features allow the user to zoom in and out of the network, and to select network components in the drop-down menu located in the upper left corner of the plot.

### Usage

    dtnetplot(drugs, set, ont = NULL, desc = NULL, verbose = FALSE, ...)

### Arguments

`drugs` | A character vector of drug names
`set` | character(1) GO term ID, KEGG or Reactome pathway ID. Alternatively, a character vector of gene SYMBOLs can be assigned.
`ont` | if 'set' is a GO term ID, 'ont' is the corresponding ontology that GO term belongs to. One of 'BP', 'MF' or 'CC'. If 'set' is anything else, 'ont' is ignored.
`desc` | character(1), description of the chosen functional category or target set
`verbose` | TRUE or FALSE, whether to print messages
`...` | Other arguments passed on to `visNetwork` function.

### Value

visNetwork plot and a list of drugs and targets that have interactions

### Examples

    data(drugs10)
    dtnetplot(drugs=drugs10,
        set=c("HDAC1", "HDAC2", "HDAC3", "HDAC11", "FOX2"),
        desc="NAD-dependent histone deacetylase activity (H3-K14 specific)")

[Package signatureSearch version 1.8.2 Index]