README.md

In kstreet13/scry: Small-Count Analysis Methods for High-Dimensional Data

scry

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

Installation

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")

Issues and bug reports

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

kstreet13/scry documentation built on Nov. 24, 2022, 7:55 a.m.