VAM: Variance-Adjusted Mahalanobis

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

Version: 1.0.0
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: 2021-09-07
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
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_1.0.0.tar.gz
Windows binaries: r-devel: VAM_1.0.0.zip, r-release: VAM_1.0.0.zip, r-oldrel: VAM_1.0.0.zip
macOS binaries: r-release (arm64): VAM_1.0.0.tgz, r-oldrel (arm64): VAM_1.0.0.tgz, r-release (x86_64): VAM_1.0.0.tgz, r-oldrel (x86_64): VAM_1.0.0.tgz
Old sources: VAM archive

Reverse dependencies:

Reverse imports: CAMML, singleCellTK

Linking:

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