EstPrior_sprcpp: Estimate size and mu for Negative Binomial distribution for...
In bayNorm: Single-cell RNA sequencing data normalization
Description
Usage
Arguments
Details
Value
Examples
Description
Input raw data and return
estimated size and mu for each gene using the MME method.
Usage
1
EstPrior_sprcpp(Data)
Arguments
Data
A matrix of single-cell expression where rows
are genes and columns are samples (cells). Data
can be of class SummarizedExperiment (the
assays slot contains the expression matrix and
is named "Counts") or just matrix.
Details
mu and size are two parameters of the prior that
need to be specified for each gene in bayNorm.
They are parameters of negative binomial distribution.
The variance is mu + mu^2/size in this parametrization.
Value
List containing estimated mu and
size for each gene.
Examples
1
2
3
data("EXAMPLE_DATA_list")
#Should not run by the users, it is used in prior estimation.
## Not run:
bayNorm documentation built on Nov. 8, 2020, 8:25 p.m.
R Package Documentation
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Description Usage Arguments Details Value Examples
Description
Input raw data and return estimated size and mu for each gene using the MME method.
Usage
1 | EstPrior_sprcpp(Data)
|
Arguments
Data |
A matrix of single-cell expression where rows
are genes and columns are samples (cells). |
Details
mu and size are two parameters of the prior that need to be specified for each gene in bayNorm. They are parameters of negative binomial distribution. The variance is mu + mu^2/size in this parametrization.
Value
List containing estimated mu and size for each gene.
Examples
1 2 3 | data("EXAMPLE_DATA_list")
#Should not run by the users, it is used in prior estimation.
## Not run:
|
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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