Normalize the sigal by locally polynormial regression fitting.
loessSmooth(seu, markers, pseudoCounts = 1, ...)
A Seurat object
The markers to be normalized.
Numeric(1L) to avoid log2(0).
Parameters passed to normalize.loess.
A Seurat object with normalized values saved in layer 'counts'. The raw counts saved as a new Assay named as raw_counts.