scDD_estimation | R Documentation |
This function is used to estimate useful parameters from a real dataset by
using scDDEstimate
function in Splatter package.
scDD_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 are usually customed, so before simulating a dataset you must point it out.
See |
seed |
An integer of a random seed. |
When you use scDD to estimate parameters from a real dataset, you must input
a numeric vector to specify the groups or plates that each cell comes from,
like other_prior = list(group.condition = the numeric vector)
. See Examples
and learn from it.
A list contains the estimated parameters and the results of execution detection.
Korthauer K D, Chu L F, Newton M A, et al. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Genome biology, 2016, 17(1): 1-15. https://doi.org/10.1186/s13059-016-1077-y
Bioconductor URL: https://www.bioconductor.org/packages/release/bioc/html/scDD.html
Github URL: https://github.com/kdkorthauer/scDD
## Not run:
ref_data <- SingleCellExperiment::counts(scater::mockSCE())
## group information
set.seed(111)
group_condition <- sample(c(1, 2), 200, replace = TRUE)
other_prior <- list(group.condition = group_condition)
## estimation
estimate_result <- simmethods::scDD_estimation(ref_data = ref_data,
other_prior = other_prior,
verbose = TRUE,
seed = 111)
## End(Not run)
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