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VAM: Variance-Adjusted Mahalanobis

Contains logic for cell-specific gene set scoring of single cell RNA sequencing data.

Version: 1.1.0
Depends: R (≥ 3.6.0), MASS, Matrix
Imports: methods (≥ 3.6.0)
Suggests: Seurat (≥ 4.0.0), SeuratObject (≥ 4.0.0), sctransform (≥ 0.3.2)
Published: 2023-11-05
DOI: 10.32614/CRAN.package.VAM
Author: H. Robert Frost
Maintainer: H. Robert Frost <rob.frost at dartmouth.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Dartmouth College
NeedsCompilation: no
Materials: NEWS
In views: Omics
CRAN checks: VAM results

Documentation:

Reference manual: VAM.pdf
Vignettes: 10x PBMC 3k log normalization Hallmark collection example
10x PBMC 3k log normalization example
10x PBMC 3k SCTransform example
Seurat pbmc_small log normalization example
Seurat pbmc_small SCTransform example

Downloads:

Package source: VAM_1.1.0.tar.gz
Windows binaries: r-devel: VAM_1.1.0.zip, r-release: VAM_1.1.0.zip, r-oldrel: VAM_1.1.0.zip
macOS binaries: r-release (arm64): VAM_1.1.0.tgz, r-oldrel (arm64): VAM_1.1.0.tgz, r-release (x86_64): VAM_1.1.0.tgz, r-oldrel (x86_64): VAM_1.1.0.tgz
Old sources: VAM archive

Reverse dependencies:

Reverse imports: CAMML, scaper, singleCellTK, STREAK

Linking:

Please use the canonical form https://CRAN.R-project.org/package=VAM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.