sample.disp.values: Sample the dispersion values dependent on mean values using...
In heiniglab/scPower: Experimental design framework for scRNAseq population studies (eQTL and DE)
View source: R/expression_fit.R
sample.disp.values R Documentation
Sample the dispersion values dependent on mean values using the DESeq function parametrization
Description
Sample the dispersion values dependent on mean values using the DESeq function parametrization
Usage
sample.disp.values(mean.vals, disp.parameter)
Arguments
mean.vals
Vector of gene means
disp.parameter
Data frame with parameter of mean-dispersion function
Value
Vector with simulated mean values
heiniglab/scPower documentation built on Jan. 9, 2025, 12:13 p.m.
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View source: R/expression_fit.R
| sample.disp.values | R Documentation |
Sample the dispersion values dependent on mean values using the DESeq function parametrization
Description
Sample the dispersion values dependent on mean values using the DESeq function parametrization
Usage
sample.disp.values(mean.vals, disp.parameter)
Arguments
mean.vals |
Vector of gene means |
disp.parameter |
Data frame with parameter of mean-dispersion function |
Value
Vector with simulated mean values
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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