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:
Please use https://github.com/kstreet13/scry/issues to submit issues, bug reports, and comments.
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