CellEntropy: Calculate entropy for each cell according to the feature...
In zh542370159/dropSplit: Automatically identify cell-containing and empty droplets for droplet-based scRNAseq data using dropSplit
CellEntropy R Documentation
Calculate entropy for each cell according to the feature counts.
Description
Calculate entropy for each cell according to the feature counts.
Usage
CellEntropy(x)
Arguments
x
A sparse matrix which columns represent cells and rows represent features.
Value
A vector of the cell entropy.
Examples
x <- simSimpleCounts()
CE <- CellEntropy(x)
head(CE)
zh542370159/dropSplit documentation built on June 19, 2022, 2:49 p.m.
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| CellEntropy | R Documentation |
Calculate entropy for each cell according to the feature counts.
Description
Calculate entropy for each cell according to the feature counts.
Usage
CellEntropy(x)
Arguments
x |
A sparse matrix which columns represent cells and rows represent features. |
Value
A vector of the cell entropy.
Examples
x <- simSimpleCounts() CE <- CellEntropy(x) head(CE)
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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