plotAutoencoderResults | R Documentation |
Compares the distribution of the expression levels of genes
between the scaled matrix and the denoised matrix.
plotAutoencoderResults(
object,
genes,
mtr_name = "denoised",
normalize = NULL,
scales = NULL,
pt_alpha = NULL,
pt_clrp = NULL,
pt_size = NULL,
verbose = NULL,
of_sample = NA,
...
)
object |
A valid spata-object. |
genes |
Character vector of length two. Denotes the genes to be used for the validation plot. |
pt_alpha |
Numeric value. Specifies the degree of transparency of all points. |
pt_clrp |
The color palette to be used if the specified variable displayed by
color is categorical/discrete. Run |
pt_size |
Numeric value. Specifies the size of all points. |
of_sample |
This argument is currently inactive. It might be reactivated when spata-objects can store more than one sample. |
This function requires a denoised matrix in slot @data generated
by runAutoEncoderDenoising()
as well as a scaled matrix.
Returns a ggplot-object that can be additionally customized according to the rules of the ggplot2-framework.
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