- Initial release of the scry package for analysis of high-dimensional data consisting of small counts (such as single-cell RNA-seq). Features included in this release:
- Feature selection with deviance
- Dimension reduction with GLM-PCA
- Approximate GLM-PCA using Pearson and deviance residuals from a null model.
- Optional adjustment for categorical batch effects for all methods.
- Support for SingleCellExperiment and SummarizedExperiment objects
- Support for matrix and sparse Matrix objects.
- changed from Travis to Github actions
- #21 pull request from eweine to improve memory efficiency
- now requires R 4.3