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As a user with data in a SingleCellExperiment, I can compute either Pearson or deviance negative binomial null residuals so that I can use them in downstream analysis.
data in dense matrix in memory
data in DelayedArray on disk
(maybe) sparse Matrix data in memory
Possible implementation paths:
Wrap the sctransform CRAN package. This provides regularized negative binomial Pearson residuals. It doesn't appear to support disk-based data though.
Do our own implementation with glmGamPoi package as backend for fast nb regression.
The text was updated successfully, but these errors were encountered:
As a user with data in a SingleCellExperiment, I can compute either Pearson or deviance negative binomial null residuals so that I can use them in downstream analysis.
Possible implementation paths:
The text was updated successfully, but these errors were encountered: