R/discovery_prediction.R
generate_result_grid.Rd
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)