simulate_exprs: Simulation of RNA-Seq expression data
In CellTrails: Reconstruction, visualization and analysis of branching trajectories
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
View source: R/simulation-methods.R
Description
Simple simulation of RNA-Seq expression data estimating counts based
on the negative binomial distribution
Usage
1
simulate_exprs(n_features, n_samples, prefix_sample = "")
Arguments
n_features
Number of genes
n_samples
Number of samples
prefix_sample
Prefix of sample name
Details
RNA-Seq counts are generated using the Negative Binomial
Distribution. Distribution parameters for each feature are sampled
from a Gamma distribution. The resulting expression matrix is log2-scaled.
Value
A numeric matrix with genes in rows and samples in columns
Author(s)
Daniel C. Ellwanger
See Also
NegBinomial and GammaDist
Examples
1
2
# Matrix with 100 genes and 50 cells
dat <- simulate_exprs(n_features=100, n_samples=50)
CellTrails documentation built on Nov. 8, 2020, 5:53 p.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/simulation-methods.R
Description
Simple simulation of RNA-Seq expression data estimating counts based on the negative binomial distribution
Usage
1 | simulate_exprs(n_features, n_samples, prefix_sample = "")
|
Arguments
n_features |
Number of genes |
n_samples |
Number of samples |
prefix_sample |
Prefix of sample name |
Details
RNA-Seq counts are generated using the Negative Binomial Distribution. Distribution parameters for each feature are sampled from a Gamma distribution. The resulting expression matrix is log2-scaled.
Value
A numeric matrix with genes in rows and samples in columns
Author(s)
Daniel C. Ellwanger
See Also
NegBinomial and GammaDist
Examples
1 2 | # Matrix with 100 genes and 50 cells
dat <- simulate_exprs(n_features=100, n_samples=50)
|
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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