context("Generate synthetic tumors from different distributions")
test_that("Generate synthetic exposures for DBS78 using log-normal distribution", {
set.seed(2586)
real.exposures.DBS78 <- PCAWG7::exposure$PCAWG$DBS78
params.DBS78 <- GetSynSigParamsFromExposures(exposures = real.exposures.DBS78)
synthetic.exposures.DBS78 <- GenerateSyntheticExposures(sig.params = params.DBS78)
sigs.DBS78 <- cosmicsig::COSMIC_v3.2$signature$GRCh37$DBS78
out <- CreateAndWriteCatalog(sigs = sigs.DBS78,
exp = synthetic.exposures.DBS78,
my.dir = file.path(tempdir(), "DBS78"),
overwrite = TRUE)
expect_equal(dim(out), c(78, 10))
unlink(file.path(tempdir(), "DBS78"), recursive = TRUE)
}
)
test_that("Generate synthetic exposures for DBS78 using negative binomial distribution", {
set.seed(2586)
real.exposures.DBS78 <- PCAWG7::exposure$PCAWG$DBS78
sigs.DBS78 <- cosmicsig::COSMIC_v3.2$signature$GRCh37$DBS78
params.DBS78.neg.binom <-
GetSynSigParamsFromExposures(exposures = real.exposures.DBS78,
distribution = "neg.binom")
synthetic.exposures.DBS78.neg.binom <-
GenerateSyntheticExposures(sig.params = params.DBS78.neg.binom,
distribution = "neg.binom")
out <- CreateAndWriteCatalog(sigs = sigs.DBS78,
exp = synthetic.exposures.DBS78.neg.binom,
my.dir = file.path(tempdir(), "DBS78.neg.binom"),
overwrite = TRUE)
expect_equal(dim(out), c(78, 10))
unlink(file.path(tempdir(), "DBS78.neg.binom"), recursive = TRUE)
}
)
test_that("Generate synthetic tumors for DBS78 by cancer types using log-normal distribution", {
# Generate synthetic tumors for DBS78
input.sigs.DBS78 <- cosmicsig::COSMIC_v3.2$signature$GRCh37$DBS78
real.exposures.DBS78 <- PCAWG7::exposure$PCAWG$DBS78
cancer.types <- PCAWG7::CancerTypes()[1:5]
DBS78.synthetic.tumors <-
GenerateSyntheticTumors(seed = 191906,
dir = file.path(tempdir(), "DBS78.synthetic.tumors"),
cancer.types = cancer.types,
samples.per.cancer.type = 30,
input.sigs = input.sigs.DBS78,
real.exposures = real.exposures.DBS78,
sample.prefix.name = "SP.Syn."
)
expect_equal(dim(DBS78.synthetic.tumors$ground.truth.catalog),
c(78, 150))
unlink(file.path(tempdir(), "DBS78.synthetic.tumors"), recursive = TRUE)
}
)
test_that("Generate synthetic tumors for DBS78 by cancer types using negative binomial distribution", {
# Generate synthetic tumors for DBS78
input.sigs.DBS78 <- cosmicsig::COSMIC_v3.2$signature$GRCh37$DBS78
real.exposures.DBS78 <- PCAWG7::exposure$PCAWG$DBS78
cancer.types <- PCAWG7::CancerTypes()[1:5]
DBS78.synthetic.tumors <-
GenerateSyntheticTumors(seed = 191906,
dir = file.path(tempdir(), "DBS78.synthetic.tumors.neg.binom"),
cancer.types = cancer.types,
samples.per.cancer.type = 30,
input.sigs = input.sigs.DBS78,
real.exposures = real.exposures.DBS78,
distribution = "neg.binom",
sample.prefix.name = "SP.Syn."
)
expect_equal(dim(DBS78.synthetic.tumors$ground.truth.catalog),
c(78, 150))
unlink(file.path(tempdir(), "DBS78.synthetic.tumors.neg.binom"), recursive = TRUE)
}
)
test_that("Generate synthetic tumors for ID by cancer types using log-normal distribution", {
# Generate synthetic tumors for ID
input.sigs.ID <- cosmicsig::COSMIC_v3.2$signature$GRCh37$ID
real.exposures.ID <- PCAWG7::exposure$PCAWG$ID
cancer.types <- PCAWG7::CancerTypes()[1:5]
ID.synthetic.tumors <-
GenerateSyntheticTumors(seed = 191906,
dir = file.path(tempdir(), "ID.synthetic.tumors"),
cancer.types = cancer.types,
samples.per.cancer.type = 30,
input.sigs = input.sigs.ID,
real.exposures = real.exposures.ID,
sample.prefix.name = "SP.Syn."
)
expect_equal(dim(ID.synthetic.tumors$ground.truth.catalog),
c(83, 150))
unlink(file.path(tempdir(), "ID.synthetic.tumors"), recursive = TRUE)
}
)
test_that("Generate synthetic tumors for ID by cancer types using negative binomial distribution", {
# Generate synthetic tumors for ID
input.sigs.ID <- cosmicsig::COSMIC_v3.2$signature$GRCh37$ID
real.exposures.ID <- PCAWG7::exposure$PCAWG$ID
cancer.types <- PCAWG7::CancerTypes()[1:5]
ID.synthetic.tumors <-
GenerateSyntheticTumors(seed = 191906,
dir = file.path(tempdir(), "ID.synthetic.tumors.neg.binom"),
cancer.types = cancer.types,
samples.per.cancer.type = 30,
input.sigs = input.sigs.ID,
real.exposures = real.exposures.ID,
distribution = "neg.binom",
sample.prefix.name = "SP.Syn."
)
expect_equal(dim(ID.synthetic.tumors$ground.truth.catalog),
c(83, 150))
unlink(file.path(tempdir(), "ID.synthetic.tumors.neg.binom"), recursive = TRUE)
}
)
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