cso<-SCTransform(cso)
Calculating cell attributes from input UMI matrix: log_umi
Variance stabilizing transformation of count matrix of size 23435 by 65231
Model formula is y ~ log_umi
Get Negative Binomial regression parameters per gene
Using 2000 genes, 65231 cells
|======================================================================| 100%
Found 88 outliers - those will be ignored in fitting/regularization step
Second step: Get residuals using fitted parameters for 23435 genes
| | 0%Error in tcrossprod(model_pars_final[genes_bin, -1, drop = FALSE], regressor_data_final) :
"tcrossprod" is not a BUILTIN function