DownSampling: Binomial downsampling
In bayNorm: Single-cell RNA sequencing data normalization
Description
Usage
Arguments
Value
Examples
Description
For each element in the Data,
randomly generate a number using Binomial distribution with
probability equal to the specific capture efficiency.
Usage
1
DownSampling(Data, BETA_vec)
Arguments
Data
raw count Data
BETA_vec
A vector of capture efficiencies of cells
Value
A matrix of binomial downsampling data.
Examples
1
2
3
data("EXAMPLE_DATA_list")
Downsample_data<-DownSampling(Data=EXAMPLE_DATA_list$inputdata
,BETA_vec = EXAMPLE_DATA_list$inputbeta)
bayNorm documentation built on Nov. 8, 2020, 8:25 p.m.
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Description Usage Arguments Value Examples
Description
For each element in the Data,
randomly generate a number using Binomial distribution with
probability equal to the specific capture efficiency.
Usage
1 | DownSampling(Data, BETA_vec)
|
Arguments
Data |
raw count Data |
BETA_vec |
A vector of capture efficiencies of cells |
Value
A matrix of binomial downsampling data.
Examples
1 2 3 | data("EXAMPLE_DATA_list")
Downsample_data<-DownSampling(Data=EXAMPLE_DATA_list$inputdata
,BETA_vec = EXAMPLE_DATA_list$inputbeta)
|
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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