SplatPop_estimation | R Documentation |
This function is used to estimate useful parameters from a real dataset by
using splatPopEstimate
function in Splatter package.
SplatPop_estimation(ref_data, verbose = FALSE, other_prior = NULL, seed)
ref_data |
A count matrix. Each row represents a gene and each column represents a cell. |
verbose |
Logical. |
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 and other variables are usually customed, so before simulating a dataset
you must point it out. See |
seed |
An integer of a random seed. |
When estimating parameters with SplatPop, users can input some extra information (but it is rarely used):
means. Matrix of real gene means across a population, where each row is a gene and each column is an individual in the population.
eqtl. A data.frame with all or top eQTL pairs from a real eQTL analysis. Must include columns: 'gene_id', 'pval_nominal', and 'slope'. For more information, please check splatter::splatPopEstimate or https://www.bioconductor.org/packages/release/bioc/vignettes/splatter/inst/doc/splatPop.html
A list contains the estimated parameters and the results of execution detection.
Zappia L, Phipson B, Oshlack A. Splatter: simulation of single-cell RNA sequencing data. Genome biology, 2017, 18(1): 1-15. https://doi.org/10.1186/s13059-017-1305-0
Bioconductor URL: https://bioconductor.org/packages/release/bioc/html/splatter.html
Github URL: https://github.com/Oshlack/splatter
## Not run:
ref_data <- simmethods::data
# Estimate parameters
estimate_result <- SplatPop_estimation(ref_data = ref_data,
verbose = TRUE,
seed = 111)
estimate_result <- estimate_result[["estimate_result"]]
## Check the class
class(estimate_result) == "SplatPopParams"
## End(Not run)
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