CellGini: Calculate the Gini index for the cells according to the...
In zh542370159/dropSplit: Automatically identify cell-containing and empty droplets for droplet-based scRNAseq data using dropSplit
CellGini R Documentation
Calculate the Gini index for the cells according to the feature counts.
Description
Calculate the Gini index for the cells according to the feature counts.
Usage
CellGini(x, normalize = TRUE)
Arguments
x
A sparse matrix which columns represent cells and rows represent features.
normalize
If TRUE, CellGini will add a number which represent the max Gini value when given the same counts.
Value
A vector of the cell entropy rate.
Examples
x <- simSimpleCounts()
CG <- CellGini(x, normalize = TRUE)
head(CG)
zh542370159/dropSplit documentation built on June 19, 2022, 2:49 p.m.
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| CellGini | R Documentation |
Calculate the Gini index for the cells according to the feature counts.
Description
Calculate the Gini index for the cells according to the feature counts.
Usage
CellGini(x, normalize = TRUE)
Arguments
x |
A sparse matrix which columns represent cells and rows represent features. |
normalize |
If |
Value
A vector of the cell entropy rate.
Examples
x <- simSimpleCounts() CG <- CellGini(x, normalize = TRUE) head(CG)
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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