run.cca {iCellR} | R Documentation |
Run CCA on the main data
Description
This function takes an object of class iCellR and runs CCA using Seurat.
Usage
run.cca(
x = NULL,
top.vari.genes = 1000,
cc.number = 30,
dims.align = 1:20,
normalize.data = TRUE,
scale.data = TRUE,
normalization.method = "LogNormalize",
scale.factor = 10000,
display.progress = TRUE
)
Arguments
x |
An object of class iCellR. |
top.vari.genes |
Chose top genes to use for CCA, default = 1000. |
cc.number |
Choose a number, default = 30. |
dims.align |
Choose the CCA dimentions to align, default = 1:20. |
normalize.data |
TRUE or FALSE, default = TRUE. |
scale.data |
TRUE or FALSE, default = TRUE. |
normalization.method |
Choose a method, default = "LogNormalize". |
scale.factor |
Scaling factor, default = 10000. |
display.progress |
Show progress, default = TRUE. |
Value
An object of class iCellR.
[Package iCellR version 1.6.7 Index]