assessSignatures: Main function for fitting signatures by group with confidence...
In jgoldmann/MutSigs: Jakob's functions for analysing mutation signatures
Description
Main function for fitting signatures by group with confidence intervals.
Usage
1
2
assessSignatures(DNMs, cancer_signatures = cancer_signatures,
group = "parent", rnd.seed = 1234, n = 1000)
Arguments
DNMs
A data.frame that contains information about the mutations.
Necessary columns are surrounding, substitution plus a column with information about the groups.
cancer_signatures
A matrix with relative abundances of all 96 mutation types in the rows and all signatures to be investigated in the columns.
group
Name of the column in DNMs to base the groups upon.
rnd.seed
Random seed to involve in the resampling of the fitting.
n
Number of resamplings to be done.
jgoldmann/MutSigs documentation built on May 29, 2019, 8:01 a.m.
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Description
Main function for fitting signatures by group with confidence intervals.
Usage
1 2 | assessSignatures(DNMs, cancer_signatures = cancer_signatures,
group = "parent", rnd.seed = 1234, n = 1000)
|
Arguments
DNMs |
A data.frame that contains information about the mutations.
Necessary columns are |
cancer_signatures |
A matrix with relative abundances of all 96 mutation types in the rows and all signatures to be investigated in the columns. |
group |
Name of the column in |
rnd.seed |
Random seed to involve in the resampling of the fitting. |
n |
Number of resamplings to be done. |
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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