toydata: toydata

In netresponse: Functional Network Analysis

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)

netresponse documentation built on Nov. 8, 2020, 5:04 p.m.