gpsimCreate: Create a GPSIM/GPDISIM model.

In ahonkela/tigre: Transcription factor Inference through Gaussian process Reconstruction of Expression

Description

creates a model for single input motifs with Gaussian processes.

Usage

  gpsimCreate(Ngenes, Ntf, times, y,
              yvar, options, genes=NULL, annotation=NULL)
  gpdisimCreate(Ngenes, Ntf, times, y,
                yvar, options, genes=NULL, annotation=NULL)

Arguments

Ngenes	number of genes to be modelled in the system.
Ntf	number of proteins to be modelled in the system.
times	the time points where the data is to be modelled.
y	the values of each gene at the different time points.
yvar	the variances of each gene at the different time points.
options	options structure (optional).
genes	names of the probes the model is for
annotation	(optional) annotation for the probe names

Details

These functions are meant to be used through GPLearn.

Value

model

model structure containing default parameterisation.

See Also

modelExtractParam, modelOptimise, GPLearn.

Examples

## missing, see GPLearn

ahonkela/tigre documentation built on Aug. 6, 2021, 12:08 p.m.