fdr_ash: False Discovery Rate correction with ash
In biospi/bayesprot: Bayesian Protein-level Quantification for Proteomics
Description
False Discovery Rate correction with ash
Usage
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fdr_ash(fit, data = protein_de(fit), by.model = T, by.effect = T,
as.data.table = FALSE, use.df = TRUE, min.peptides = 1,
min.peptides.per.condition = 0, min.features = 1,
min.features.per.condition = 0, min.test.samples = 4,
min.test.samples.per.condition = 2, min.real.samples = 1,
min.real.samples.per.condition = 0, mixcompdist = "halfuniform", ...)
biospi/bayesprot documentation built on Nov. 9, 2019, 2:40 p.m.
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Description
False Discovery Rate correction with ash
Usage
1 2 3 4 5 6 | fdr_ash(fit, data = protein_de(fit), by.model = T, by.effect = T,
as.data.table = FALSE, use.df = TRUE, min.peptides = 1,
min.peptides.per.condition = 0, min.features = 1,
min.features.per.condition = 0, min.test.samples = 4,
min.test.samples.per.condition = 2, min.real.samples = 1,
min.real.samples.per.condition = 0, mixcompdist = "halfuniform", ...)
|
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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