Description Usage Arguments Value
Uses L1-constrained linear models (LASSO) to impute single cell gene expression values.
| 1 2 | AddImputedScore(object, genes.use = NULL, genes.fit = NULL, s.use = 20,
  do.print = FALSE, gram = TRUE)
 | 
| object | Seurat object | 
| genes.use | A vector of genes (predictors) that can be used for building the LASSO models. | 
| genes.fit | A vector of genes to impute values for | 
| s.use | Maximum number of steps taken by the algorithm (lower values indicate a greater degree of smoothing) | 
| do.print | Print progress (output the name of each gene after it has been imputed). | 
| gram | The use.gram argument passed to lars | 
Returns a Seurat object where the imputed values have been added to object@data
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