predictClasses,SurvivalExperiment,PCOSP_or_RLS_or_RGA-method {PDATK} | R Documentation |
CohortList
Using
a PCOSP
, RLSModel
or RGAModel
object.Predict Survival Prognosis Classes and Risk Scores for A CohortList
Using
a PCOSP
, RLSModel
or RGAModel
object.
## S4 method for signature 'SurvivalExperiment,PCOSP_or_RLS_or_RGA' predictClasses(object, model, ...)
object |
A |
model |
A trained |
... |
Fall through arguments to |
A SurvivalExperiment
with the predictions in its metadata and
a column in colData, prob_good_survival
, which contains the proportion
of models which predicted good prognosis for each sample.
BiocParallel::bplapply
, switchBox::SWAP.KTSP.Classify
data(sampleTrainedPCOSPmodel) data(samplePCSIsurvExp) # Set parallelization settings BiocParallel::register(BiocParallel::SerialParam()) # Make predictions PCOSPpredSurvExp <- predictClasses(samplePCSIsurvExp, model=sampleTrainedPCOSPmodel) head(colData(PCOSPpredSurvExp))