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-release (x86_64): VAM_1.0.0.tgz, r-oldrel: VAM_1.0.0.tgz
Old sources:	VAM archive

Reverse dependencies:

Reverse imports:

CAMML, singleCellTK

Linking:

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