response2sample {netresponse} | R Documentation

## response2sample

### 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 leo.lahti@iki.fi

### 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)

[Package netresponse version 1.54.0 Index]