Normalize the signal by Loess

Normalize the sigal by locally polynormial regression fitting.

loessSmooth(seu, markers, pseudoCounts = 1, ...)

Arguments

seu

A Seurat object

markers

The markers to be normalized.

pseudoCounts

Numeric(1L) to avoid log2(0).

...

Parameters passed to normalize.loess.

Value

A Seurat object with normalized values saved in layer 'counts'. The raw counts saved as a new Assay named as raw_counts.