Description Usage Arguments Value See Also Examples
This function computes the P-values based on the fitted negative binomial model. It computes two matrices with the same dimension as the count matrix (samples x genes), which contain the corresponding P-values and adjusted P-values of every count.
1 2 3 4 5 6 7 8 9 | computePvalues(object, ...)
## S4 method for signature 'OutriderDataSet'
computePvalues(
object,
alternative = c("two.sided", "greater", "less"),
method = "BY",
BPPARAM = bpparam()
)
|
object |
An OutriderDataSet |
... |
additional params, currently not used. |
alternative |
Can be one of "two.sided", "greater" or "less" to specify the alternative hypothesis used to calculate the P-values, defaults to "two.sided" |
method |
Method used for multiple testing |
BPPARAM |
Can be used to parallelize the computation, defaults to bpparam() |
An OutriderDataSet object with computed nominal and adjusted P-values
p.adjust
1 2 3 4 5 6 7 8 | ods <- makeExampleOutriderDataSet()
ods <- estimateSizeFactors(ods)
ods <- fit(ods)
ods <- computePvalues(ods)
assays(ods)[['pValue']][1:10,1:10]
|
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