get.model.parameters {netresponse} | R Documentation

## get.model.parameters

### Description

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

### Usage

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

### Arguments

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

### Details

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

### Value

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.

### Author(s)

Leo Lahti leo.lahti@iki.fi

### References

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

### Examples

    # 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)

[Package netresponse version 1.52.0 Index]