fit_betas_to_distribution: Categorize betas based on bimodal distribution VALIDATED
In ethanmoyer/MethylConstruct:
Description
Usage
Arguments
Value
Examples
View source: R/preprocessData.R
Description
This function uses a given bimodal distribution generated within cells
in order to categorize betas as either methylated (1), unmethylated (0), or
ambiguous (-1).
Usage
1
fit_betas_to_distribution(betas, bi)
Arguments
betas
matrix (rows are cell names, columns are probe names)
bi
matrix specifying mu0, mu1, sigma0, sigma1 across all cell types
Value
betas categorized based on bimodal distribution
Examples
1
2
betas <- fit_betas_to_distribution(betas, bi)
... some visualization
ethanmoyer/MethylConstruct documentation built on July 10, 2020, 12:28 a.m.
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Description Usage Arguments Value Examples
View source: R/preprocessData.R
Description
This function uses a given bimodal distribution generated within cells in order to categorize betas as either methylated (1), unmethylated (0), or ambiguous (-1).
Usage
1 | fit_betas_to_distribution(betas, bi)
|
Arguments
betas |
matrix (rows are cell names, columns are probe names) |
bi |
matrix specifying mu0, mu1, sigma0, sigma1 across all cell types |
Value
betas categorized based on bimodal distribution
Examples
1 2 | betas <- fit_betas_to_distribution(betas, bi)
... some visualization
|
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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