NEWS.md

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

scry 1.0

• 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.

scry 1.12

• changed from Travis to Github actions

• 21 pull request from eweine to improve memory efficiency

• now requires R 4.3

kstreet13/scry documentation built on July 13, 2024, 8:32 p.m.