response2sample: response2sample

In netresponse: Functional Network Analysis

Description

List the most strongly associated response of a given subnetwork for each sample.

Usage

response2sample(
  model,
  subnet.id = NULL,
  component.list = TRUE,
  verbose = FALSE,
  data = NULL
)

Arguments

model	A NetResponseModel object or list.
subnet.id	Subnet id. A natural number which specifies one of the subnetworks within the 'model' object.
component.list	List samples separately for each mixture component (TRUE). Else list the most strongly associated component for each sample (FALSE).
verbose	Follow progress by intermediate messages.
data	Data (features x samples; or a vector for univariate case) to predict response for given data points (currently implemented only for mixture.model output) Return:

Value

A list. Each element corresponds to one subnetwork response, and contains a list of samples that are associated with the response (samples for which this response has the highest probability P(response | sample)).

Author(s)

Leo Lahti [e-mail]

References

Leo Lahti et al.: Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). See citation('netresponse') for citation details.

Examples

# Load example data
data( toydata )         # Load toy data set
D    <- toydata$emat    # Response matrix (for example, gene expression)
model <- toydata$model  # Pre-calculated model

# Find the samples for each response (for a given subnetwork)
response2sample(model, subnet.id = 1)

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