zingeR_estimation | R Documentation |
This function is used to estimate useful parameters from a real dataset by
using getDatasetZTNB
function in zingeR package.
zingeR_estimation(ref_data, verbose = FALSE, other_prior, 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 zingeR to estimate parameters from a real dataset, you must input
a numeric vector to specify the groups that each cell belongs to, 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.
Github URL: https://github.com/statOmics/zingeR
## Not run:
ref_data <- simmethods::data
group_condition <- as.numeric(simmethods::group_condition)
estimate_result <- simmethods::zingeR_estimation(
ref_data = ref_data,
other_prior = list(group.condition = group_condition),
verbose = TRUE,
seed = 111
)
## End(Not run)
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