View source: R/discovery_prediction.R
generate_result_grid | R Documentation |
Generate result_grid from musica based on annotation and range of k
generate_result_grid(
musica,
modality,
algorithm = "lda",
annotation = NA,
k_start,
k_end,
result_name = "result_grid",
n_start = 1,
seed = NULL,
par_cores = FALSE,
verbose = FALSE,
make_copy = FALSE,
table_name = NULL
)
musica |
A |
modality |
Modality used for signature discovery |
algorithm |
Algorithm for signature discovery |
annotation |
Sample annotation to split results into |
k_start |
Lower range of number of signatures for discovery |
k_end |
Upper range of number of signatures for discovery |
result_name |
Name for result_list entry to save the results to. Default
|
n_start |
Number of times to discover signatures and compare based on posterior loglikihood |
seed |
Seed to use for reproducible results, set to null to disable |
par_cores |
Number of parallel cores to use (NMF only) |
verbose |
Whether to output loop iterations |
make_copy |
If |
table_name |
Use modality instead |
Returns nothing or a new musica
object,
depending on the make_copy
parameter.
data(musica_sbs96)
grid <- generate_result_grid(musica_sbs96, "SBS96", "lda",
k_start = 2,
k_end = 5
)
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