imputeZeros | R Documentation |
Given a matrix of counts and a zinb model, this function computes the imputed counts under a zero-inflated negative binomial (ZINB) model.
imputeZeros(model, x)
model |
the zinb model |
x |
the matrix of counts n cells by J genes |
the matrix of imputed counts.
se <- SummarizedExperiment(matrix(rpois(60, lambda=5), nrow=10, ncol=6),
colData = data.frame(bio = gl(2, 3)))
m <- zinbFit(se, X=model.matrix(~bio, data=colData(se)),
BPPARAM=BiocParallel::SerialParam())
imputeZeros(m, t(assay(se)))
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