The released version of scry can be found on Bioconductor at https://bioconductor.org/packages/scry.
A collection of methods for the analysis of small-count data, such as single-cell RNA-seq.
Included methods:
- Deviance for feature selection
- GLM-PCA for dimension reduction
- Null residuals, a transformation that when combined with PCA approximates GLM-PCA
Planned additions for upcoming release:
- Quasi-UMI normalization for single-cell read counts
- Cell type prediction for scRNA-seq
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("scry")
The Bioconductor release requires R version 4.0. If you prefer to use the older R 3.6, you can install from the unofficial r3 branch as follows:
remotes::install_github("kstreet13/scry@r3")
Please use https://github.com/kstreet13/scry/issues to submit issues, bug reports, and comments.