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Analyze the clustering quality and generate a Silhouette Plot.
silhouetteMLB(data, fac, method = "cosine", plot = TRUE)
numeric matrix
clustering factor
method to be used as distance function. Defaults to c("cosine")
logical, shall a barplot showing the cluster silhouettes be printed
numeric vector including the silhouette values of the data poointts in the input matrix
More information and examples about mutational signature analysis can be found here:
GitHub Repo: https://github.com/dami82/mutSignatures/
More info and examples about the mutSignatures R library: https://www.data-pulse.com/dev_site/mutsignatures/
Sci Rep paper, introducing mutS: https://www.nature.com/articles/s41598-020-75062-0/
Oncogene paper, Mutational Signatures Operative in Bladder Cancer: https://www.nature.com/articles/s41388-017-0099-6
Silhouette analysis in R: http://www.biotechworld.it/bioinf/2017/01/20/translating-matlabs-silhouette-function-to-r/
# NOT RUN { library(mutSignatures) x <- mutSignatures:::getTestRunArgs("silhouetteMLB") y <- silhouetteMLB(data = x$data, fac = x$fac) y # }
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