detectHVG: This function detect highly variable genes via package...
In jyxi7676/SiftCell: SiftCell framework to identify cell containing and cell free droplets
View source: R/SiftCellBoost.R
detectHVG R Documentation
This function detect highly variable genes via package "Squat"
Description
This function detect highly variable genes via package "Squat"
Usage
detectHVG(rawDGE, geneUMIthreshold = 50, quantileReg = FALSE)
Arguments
rawDGE
digital expression matrix of the original data
geneUMIthreshold
focus on genes with total UMI bigger than the threshold
quantileReg
Default is False. Top 1000 genes is selected
Value
returns xxx
jyxi7676/SiftCell documentation built on July 27, 2023, 7:13 a.m.
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View source: R/SiftCellBoost.R
| detectHVG | R Documentation |
This function detect highly variable genes via package "Squat"
Description
This function detect highly variable genes via package "Squat"
Usage
detectHVG(rawDGE, geneUMIthreshold = 50, quantileReg = FALSE)
Arguments
rawDGE |
digital expression matrix of the original data |
geneUMIthreshold |
focus on genes with total UMI bigger than the threshold |
quantileReg |
Default is False. Top 1000 genes is selected |
Value
returns xxx
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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