get.model.parameters: get.model.parameters
In netresponse: Functional Network Analysis

Description Usage Arguments Details Value Author(s) References Examples

Retrieve the mixture model parameters of the NetResponse algorithm for a given subnetwork.

1	get.model.parameters(model, subnet.id = NULL)

`model`	Result from NetResponse (detect.responses function).
`subnet.id`	Subnet identifier. A natural number which specifies one of the subnetworks within the 'model' object.

Only the non-empty components are returned. Note: the original data matrix needs to be provided for function call separately.

A list with the following elements:

`mu`	Centroids for the mixture components. Components x nodes.
`sd`	Standard deviations for the mixture components. A vector over the nodes for each component, implying the diagonal covariance matrix of the model (i.e. diag(std^2)). Components x nodes
`w`	Vector of component weights.
`nodes`	List of nodes in the subnetwork.
`K`	Number of mixture components.

Leo Lahti leo.lahti@iki.fi

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

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

# Get model parameters for a given subnet
# (Gaussian mixture: mean, covariance diagonal, mixture proportions)
get.model.parameters(model, subnet.id = 1)