The following tutorial describing how to prepare single-cell data for pseudobulk differential expression analysis (DEA) relies on the use of Matrix.utils::aggregate.Matrix() to aggregate the single-cell data by sample/cell type.
However, the package Matrix.utils is now archived from CRAN, as it seems that issues with build tests in v0.98 were not addressed by package developers. As documented elsewhere and until an alternative is found, we recommend proceeding with caution and installing the previous version of Matrix.utils using the following:
The following tutorial describing how to prepare single-cell data for pseudobulk differential expression analysis (DEA) relies on the use of
Matrix.utils::aggregate.Matrix()to aggregate the single-cell data by sample/cell type.However, the package
Matrix.utilsis now archived from CRAN, as it seems that issues with build tests in v0.98 were not addressed by package developers. As documented elsewhere and until an alternative is found, we recommend proceeding with caution and installing the previous version ofMatrix.utilsusing the following: