Description Usage Arguments Details Value Author(s) References
View source: R/s03_all_functions.R
This function is an attempt to analyze the relationship between error and k. In other words, the goal of prelimProcessAssess is to visualize the reduction in the error/residuals
1 2 3 4 5 6 7 | prelimProcessAssess(
input,
maxProcess = 6,
approach = "counts",
plot = TRUE,
verbose = TRUE
)
|
input |
a mutationCounts-class object |
maxProcess |
integer, maximum k to test |
approach |
sting, "counts" or "freq" |
plot |
logical, shall a plot be printed to the active device |
verbose |
logical, info about the ongoing analysis be messaged/printed to console |
This function is part of the user-interface set of tools included in mutSignatures. This is an exported function.
a data.frame showing the estimated total error with respect to the range of k values
Damiano Fantini, damiano.fantini@gmail.com
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
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