View source: R/discovery_prediction.R
auto_subset_sigs | R Documentation |
Automatic filtering of inactive signatures
auto_subset_sigs(
musica,
modality,
signature_res,
algorithm,
min_exists = 0.05,
proportion_samples = 0.25,
rare_exposure = 0.4,
result_name = "result",
model_id = NULL
)
musica |
A |
modality |
Modality used for posterior prediction (e.g. SBS96) |
signature_res |
Signatures to automatically subset from for prediction |
algorithm |
Algorithm to use for prediction. Choose from "lda_posterior" and decompTumor2Sig |
min_exists |
Threshold to consider a signature active in a sample |
proportion_samples |
Threshold of samples to consider a signature active in the cohort |
rare_exposure |
A sample will be considered active in the cohort if at least one sample has more than this threshold proportion |
result_name |
Name for result_list entry to save the results to. Default
|
model_id |
Identifier for the result. If |
Returns new musica
object with the results.
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