View source: R/response2sample.R
| response2sample | R Documentation | 
List the most strongly associated response of a given subnetwork for each sample.
response2sample(
  model,
  subnet.id = NULL,
  component.list = TRUE,
  verbose = FALSE,
  data = NULL
)
| 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: | 
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)).
Leo Lahti leo.lahti@iki.fi
Leo Lahti et al.: Global modeling of transcriptional responses in interaction networks. Bioinformatics (2010). See citation('netresponse') for citation details.
# 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)
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