View source: R/GenerateNoisyTumors.R
GenerateNoisyTumors | R Documentation |
Generate noisy tumors from available exposures
GenerateNoisyTumors( seed, dir, input.exposure, signatures, n.binom.size = NULL, overwrite = TRUE )
seed |
A random seed to use. |
dir |
The directory in which to put the output; will be created if necessary. |
input.exposure |
A matrix of exposures. |
signatures |
A matrix of signatures. |
n.binom.size |
If non |
overwrite |
If TRUE, overwrite existing directories and files. |
A list with the elements
The numbers of mutations due to each signature after adding noise
The spectra based on the noisy signature exposures.
# Generate synthetic tumors for Indel (ID) using negative binomial distribution input.sigs.ID <- cosmicsig::COSMIC_v3.2$signature$GRCh37$ID real.exposures.ID <- PCAWG7::exposure$PCAWG$ID cancer.types <- PCAWG7::CancerTypes()[1:5] ID.synthetic.tumors <- GenerateSyntheticTumors(seed = 191906, dir = file.path(tempdir(), "ID.synthetic.tumors"), cancer.types = cancer.types, samples.per.cancer.type = 30, input.sigs = input.sigs.ID, real.exposures = real.exposures.ID, distribution = "neg.binom", sample.prefix.name = "SP.Syn." ) # Add noise to the exposures ID.noisy.tumors <- GenerateNoisyTumors(seed = 892513, dir = file.path(tempdir(), "ID.noisy.tumors"), input.exposure = ID.synthetic.tumors$ground.truth.exposures, signatures = ID.synthetic.tumors$ground.truth.signatures, n.binom.size = 1) # Plot the synthetic and noisy catalog and exposures ICAMS::PlotCatalogToPdf(catalog = ID.synthetic.tumors$ground.truth.catalog, file = file.path(tempdir(), "ID.synthetic.catalog.pdf")) mSigAct::PlotExposureToPdf(exposure = ID.synthetic.tumors$ground.truth.exposures, file = file.path(tempdir(), "ID.synthetic.exposures.pdf"), cex.xaxis = 0.7) ICAMS::PlotCatalogToPdf(catalog = ID.noisy.tumors$spectra, file = file.path(tempdir(), "ID.noisy.catalog.pdf")) mSigAct::PlotExposureToPdf(exposure = ID.noisy.tumors$exposures, file = file.path(tempdir(), "ID.noisy.exposures.pdf"), cex.xaxis = 0.7)
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