Combine signatures and exposures of different models. Exposure values are zero for samples in an annotation where that signature was not predicted
Source:R/discovery_prediction.R
combine_predict_grid.Rd
Combine signatures and exposures of different models. Exposure values are zero for samples in an annotation where that signature was not predicted
Usage
combine_predict_grid(
musica,
modality,
signature_res,
model_ids = NULL,
result_name = "result",
model_rename = NULL,
make_copy = FALSE,
table_name = NULL
)
Arguments
- musica
A
musica
object.- modality
Modality used for prediction.
- signature_res
Signatures to automatically subset from for prediction
- model_ids
Vector of ids for the models to combine. If null, all models in the modality and result_list entry will be combined. Default
NULL
.- result_name
Name of the result list entry containing the signatures to plot. Default
"result"
.- model_rename
New model identifier. If null, will be combination of the ids for the models being combined. Deafult
NULL
.- make_copy
If
FALSE
, the inputtedmusica
object is updated and nothing is returned. IfTRUE
, a newmusica
object is created and returned. DefaultFALSE
.- table_name
Use modality instead
Value
Returns nothing or a new musica
object,
depending on the make_copy
parameter.
Examples
data(musica_annot)
data(cosmic_v2_sigs)
grid <- auto_predict_grid(musica_annot, "SBS96", cosmic_v2_sigs, "lda",
"Tumor_Subtypes",
combine_res = FALSE, make_copy = TRUE
)
combined <- combine_predict_grid(grid, "SBS96", cosmic_v2_sigs,
make_copy = TRUE)