View source: R/splatPop-simulate.R
splatPopSimulate | R Documentation |
Simulate scRNA-seq count data using the splat model for a population of individuals with correlation structure.
splatPopSimulate(
params = newSplatPopParams(nGenes = 50),
vcf = mockVCF(),
method = c("single", "groups", "paths"),
gff = NULL,
eqtl = NULL,
means = NULL,
key = NULL,
counts.only = FALSE,
sparsify = TRUE,
verbose = TRUE,
...
)
params |
SplatPopParams object containing parameters for population
scale simulations. See |
vcf |
VariantAnnotation object containing genotypes of samples. |
method |
which simulation method to use. Options are "single" which produces a single population, "groups" which produces distinct groups (eg. cell types), "paths" which selects cells from continuous trajectories (eg. differentiation processes). |
gff |
Either NULL or a data.frame object containing a GFF/GTF file. |
eqtl |
Either NULL or if simulating population parameters directly from empirical data, a data.frame with empirical/desired eQTL results. To see required format, run 'mockEmpiricalSet()' and see eqtl output. |
means |
Either NULL or if simulating population parameters directly from empirical data, a Matrix of real gene means across a population, where each row is a gene and each column is an individual in the population. To see required format, run 'mockEmpiricalSet()' and see means output. |
key |
Either NULL or a data.frame object containing a full or partial splatPop key. |
counts.only |
logical. Whether to save only counts in sce object. |
sparsify |
logical. Whether to automatically convert assays to sparse matrices if there will be a size reduction. |
verbose |
logical. Whether to print progress messages. |
... |
any additional parameter settings to override what is provided in
|
This functions is for simulating data in a single step. It consists of a
call to splatPopSimulateMeans
, which simulates a mean
expression level per gene per sample, followed by a call to
splatPopSimulateSC
, which uses the splat model to simulate
single-cell counts per individual. Please see the documentation for those
functions for more details.
SingleCellExperiment object containing simulated counts, intermediate values like the gene means simulated in 'splatPopSimulateMeans', and information about the differential expression and eQTL effects assigned to each gene.
splatPopSimulateMeans
, splatPopSimulateSC
if (requireNamespace("VariantAnnotation", quietly = TRUE) &&
requireNamespace("preprocessCore", quietly = TRUE)) {
vcf <- mockVCF()
gff <- mockGFF()
sim <- splatPopSimulate(vcf = vcf, gff = gff, sparsify = FALSE)
}
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