nnls_montecarlo: Monte Carlo Simulation of NNLS
In eyzhao/hrdtools: Homologous Recombination Deficiency Tests with Whole Genome Sequencing
View source: R/nnls_exposures.R
Description
Performs Monte Carlo simulation to obtain NNLS exposure confidence intervals
Usage
1
2
nnls_montecarlo(subjectMotifs, refSignature, fractions, iterations,
alpha = 0.05)
Arguments
subjectMotifs
Mutation Catalog from get_mutation_catalog()
refSignature
Reference signatures from get_reference_signatures()
fractions
If TRUE, will return exposures as a fraction of total mutation burden
iterations
Number of iterations to run
alpha
Confidence level to retrieve confidence intervals at (default 0.05)
eyzhao/hrdtools documentation built on May 21, 2019, 3:09 a.m.
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View source: R/nnls_exposures.R
Description
Performs Monte Carlo simulation to obtain NNLS exposure confidence intervals
Usage
1 2 | nnls_montecarlo(subjectMotifs, refSignature, fractions, iterations,
alpha = 0.05)
|
Arguments
subjectMotifs |
Mutation Catalog from get_mutation_catalog() |
refSignature |
Reference signatures from get_reference_signatures() |
fractions |
If TRUE, will return exposures as a fraction of total mutation burden |
iterations |
Number of iterations to run |
alpha |
Confidence level to retrieve confidence intervals at (default 0.05) |
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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