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
DOI: 10.32614/CRAN.package.dtangle
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


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


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


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