Correct data by setting all latent factors to their median values and reversing the regression model
correct(
x,
data = "y",
cell_attr = x$cell_attr,
as_is = FALSE,
do_round = TRUE,
do_pos = TRUE,
verbosity = 2,
verbose = NULL,
show_progress = NULL
)
A list that provides model parameters and optionally meta data; use output of vst function
The name of the entry in x that holds the data
Provide cell meta data holding latent data info
Use cell attributes as is and do not use the median; set to TRUE if you want to manually control the values of the latent factors; default is FALSE
Round the result to integers
Set negative values in the result to zero
An integer specifying whether to show only messages (1), messages and progress bars (2) or nothing (0) while the function is running; default is 2
Deprecated; use verbosity instead
Deprecated; use verbosity instead
Corrected data as UMI counts
# NOT RUN {
vst_out <- vst(pbmc, return_cell_attr = TRUE)
umi_corrected <- correct(vst_out)
# }
# NOT RUN {
# }
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