dtangle: Cell Type Deconvolution from Gene Expressions

Deconvolving cell types from high-throughput gene profiling data. For more information on dtangle see Hunt et al. (2019) <doi:10.1093/bioinformatics/bty926>.

Version:	2.0.9
Depends:	R (≥ 3.5.0)
Imports:	DEoptimR
Suggests:	knitr, rmarkdown, testthat
Published:	2019-12-01
Author:	Gregory Hunt [aut, cre], Johann Gagnon-Bartsch [aut]
Maintainer:	Gregory Hunt <ghunt at wm.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	dtangle results

Documentation:

Reference manual:	dtangle.pdf
Vignettes:	Basic Deconvolution Basic Deconvolution using dtangle2

Downloads:

Package source:	dtangle_2.0.9.tar.gz
Windows binaries:	r-devel: dtangle_2.0.9.zip, r-release: dtangle_2.0.9.zip, r-oldrel: dtangle_2.0.9.zip
macOS binaries:	r-release (arm64): dtangle_2.0.9.tgz, r-oldrel (arm64): dtangle_2.0.9.tgz, r-release (x86_64): dtangle_2.0.9.tgz, r-oldrel (x86_64): dtangle_2.0.9.tgz
Old sources:	dtangle archive

Reverse dependencies:

Reverse imports:

granulator

Linking:

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