Description Usage Arguments Value
Convert glmGamPoi object to a list
1 2 |
x |
an object with class glmGamPoi |
... |
not used |
The method returns a list with the following elements:
Beta
a matrix with dimensions nrow(data) x n_coefficients
where n_coefficients
is
based on the design
argument. It contains the estimated coefficients for each gene.
overdispersions
a vector with length nrow(data)
. The overdispersion parameter for each
gene. It describes how much more the counts vary than one would expect according to the Poisson
model.
Mu
a matrix with the same dimensions as dim(data)
. If the calculation happened on
disk, than Mu
is a HDF5Matrix
. It contains the estimated mean value for each gene and
sample.
size_factors
a vector with length ncol(data)
. The size factors are the inferred
correction factors for different sizes of each sample. They are also sometimes called the
exposure factor.
model_matrix
a matrix with dimensions ncol(data) x n_coefficients
. It is build based
on the design
argument.
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