dropsim_simulation | R Documentation |
This function is used to simulate datasets from learned parameters by simulateDGE
function in dropsim package.
dropsim_simulation(
parameters,
other_prior = NULL,
return_format,
verbose = FALSE,
seed
)
parameters |
A object generated by |
other_prior |
A list with names of certain parameters. Some methods need
extra parameters to execute the estimation step, so you must input them. In
simulation step, the number of cells, genes, groups, batches, the percent of
DEGs are usually customed, so before simulating a dataset you must point it out.
See |
return_format |
A character. Alternative choices: list, SingleCellExperiment,
Seurat, h5ad. If you select |
verbose |
Logical. Whether to return messages or not. |
seed |
A random seed. |
In dropsim, users can only set nCells
and nGenes
directly.
For more parameters in dropsim, check dropsim::simulateDGE()
and see Examples
.
Github URL: https://github.com/marchinilab/dropsim
## Not run:
ref_data <- simmethods::data
## estimation
estimate_result <- simmethods::dropsim_estimation(
ref_data = ref_data,
verbose = TRUE,
seed = 111
)
# 1) Simulate with default parameters
simulate_result <- simmethods::dropsim_simulation(
parameters = estimate_result[["estimate_result"]],
other_prior = NULL,
return_format = "list",
verbose = TRUE,
seed = 111
)
## counts
counts <- simulate_result[["simulate_result"]][["count_data"]]
dim(counts)
# 2) 2000 cells and 5000 genes
simulate_result <- simmethods::dropsim_simulation(
parameters = estimate_result[["estimate_result"]],
other_prior = list(nCells = 2000,
nGenes = 5000),
return_format = "list",
verbose = TRUE,
seed = 111
)
## counts
counts <- simulate_result[["simulate_result"]][["count_data"]]
dim(counts)
## End(Not run)
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