toydata {netresponse} | R Documentation

## toydata

### Description

Toy data for NetResponse examples.

### Usage

    data(toydata)

### Format

Toy data: a list with three elements:

emat: Data matrix (samples x features). This contains the same features that are provided in the network (toydata$netw). The matrix characterizes measurements of network states across different conditions.

netw: Binary matrix that describes pairwise interactions between features. This defines an undirected network over the features. A link between two nodes is denoted by 1.

model: A pre-calculated model. Object of NetResponseModel class, resulting from applying the netresponse algorithm on the toydata with model <- detect.responses(D, netw).

### References

Leo Lahti et al.: Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010).

### Examples

      data(toydata)
      D    <- toydata$emat   # Response matrix (samples x features)
      netw <- toydata$netw   # Network between the features
      model <- toydata$model # Pre-calculated NetResponseModel obtained with
                             # model <- detect.responses(D, netw)

[Package netresponse version 1.52.0 Index]