generateModels {tigre} | R Documentation |
'generateModels' recreates models based on the parameters stored in a scoreList.
generateModels(preprocData, scores)
preprocData |
The preprocessed data to be used. |
scores |
A scoreList object containing data of the models to be generated. |
'generateModels' returns a list of the generated models.
Antti Honkela, Jonatan Ropponen
GPLearn, GPRankTargets, GPRankTFs, scoreList
.
## Not run: # Load a mmgmos preprocessed fragment of the Drosophila developmental # time series data(drosophila_gpsim_fragment) # Get the target probe names targets <- c('FBgn0003486', 'FBgn0033188', 'FBgn0035257') library(annotate) aliasMapping <- getAnnMap("ALIAS2PROBE", annotation(drosophila_gpsim_fragment)) twi <- get('twi', env=aliasMapping) fbgnMapping <- getAnnMap("FLYBASE2PROBE", annotation(drosophila_gpsim_fragment)) targetProbes <- mget(targets, env=fbgnMapping) scores <- GPRankTargets(drosophila_gpsim_fragment, TF=twi, testTargets=targetProbes, options=list(quiet=TRUE), filterLimit=1.8) models <- generateModels(drosophila_gpsim_fragment, scores) ## End(Not run)