toydata | R Documentation |
Toy data for NetResponse examples.
data(toydata)
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$netw). The matrix characterizes measurements of network states across different conditions.
netw: Binary matrix that describes pairwise interactions between features. This defines an undirected network over the features. A link between two nodes is denoted by 1.
model: A pre-calculated model. Object of NetResponseModel class, resulting from applying the netresponse algorithm on the toydata with model <- detect.responses(D, netw).
Leo Lahti et al.: Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010).
data(toydata)
D <- toydata$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)
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