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:
Betaa 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.
overdispersionsa 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.
Mua 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_factorsa 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_matrixa matrix with dimensions ncol(data) x n_coefficients. It is build based
on the design argument.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.