View source: R/31-scMultiSim.R
scMultiSim_simulation | R Documentation |
Simulate Datasets by scMultiSim
scMultiSim_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 scMultiSim, nCells
and nGenes
are usually customed and users can set
other_prior = list(nCells = 1000, nGenes = 2000)
to simulate 1000 cells and 5000 genes.
In addition, nBatches
can be customed for simulating the cell batches.
Li H, Zhang Z, Squires M, et al. scMultiSim: simulation of multi-modality single cell data guided by cell-cell interactions and gene regulatory networks. bioRxiv, 2022: 2022.10. 15.512320. https://doi.org/10.1101/2022.10.15.512320
Github URL: https://github.com/ZhangLabGT/scMultiSim
ref_data <- simmethods::data
## estimation
estimate_result <- simmethods::scMultiSim_estimation(
ref_data = ref_data,
other_prior = NULL,
verbose = TRUE,
seed = 111
)
# 1) Simulate with default parameters
simulate_result <- simmethods::scMultiSim_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)
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