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Generate data from regularized models. This generates data from the background, i.e. no residuals are added to the simulated data. The cell attributes for the generated cells are sampled from the input with replacement.
generate( vst_out, genes = rownames(vst_out$model_pars_fit), cell_attr = vst_out$cell_attr, n_cells = nrow(cell_attr) )
Generated data as dgCMatrix
A list that provides model parameters and optionally meta data; use output of vst function
The gene names for which to generate data; default is rownames(vst_out$model_pars_fit)
Provide cell meta data holding latent data info; default is vst_out$cell_attr
Number of cells to generate; default is nrow(cell_attr)
# \donttest{ vst_out <- vst(pbmc, return_cell_attr = TRUE) generated_data <- generate(vst_out) # }
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