bootstrapCancerGenomes {mutSignatures} | R Documentation |
Bootstrap a Mutation Count Matrix.
Description
Rearrange a Mutation count Matrix using the multivariate normal distribution. The function returns a bootstrapped Mutation Count matrix whose dimensions are identical to the input matrix.
Usage
bootstrapCancerGenomes(genomes, seed = NULL)
Arguments
genomes |
a numeric matrix of Mutation Counts. Rows correspond to Mutation Types, columns to different samples. |
seed |
integer, set a seed to obtain reproducible results. Defaulted to NULL |
Details
This is one of the core functions included in the original mutSignatures R library, and in the WTSI MATLAB framework. This is an internal function.
Value
a numeric matrix of bootstrapped Mutation Counts. Rows correspond to Mutation Types, columns to different samples.
Author(s)
Damiano Fantini, damiano.fantini@gmail.com
References
More information and examples about mutational signature analysis can be found here:
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GitHub Repo: https://github.com/dami82/mutSignatures/
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More info and examples about the mutSignatures R library: https://www.data-pulse.com/dev_site/mutsignatures/
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Sci Rep paper, introducing mutS: https://www.nature.com/articles/s41598-020-75062-0/
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Oncogene paper, Mutational Signatures Operative in Bladder Cancer: https://www.nature.com/articles/s41388-017-0099-6
WTSI framework: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3588146/
Examples
x <- cbind(c(10, 100, 20, 200, 30, 5),
c(100, 90, 80, 100, 11, 9))
mutSignatures:::bootstrapCancerGenomes(x)