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,
table_name,
algorithm = "lda",
annotation = NA,
k_start,
k_end,
n_start = 1,
seed = NULL,
par_cores = FALSE,
verbose = FALSE
)
musica |
A |
table_name |
Name of table 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 |
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 |
A result object containing signatures and sample weights
data(musica_sbs96)
grid <- generate_result_grid(musica_sbs96, "SBS96", "lda", k_start = 2,
k_end = 5)
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