Package: dtangle 2.0.9

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>.

Authors:Gregory Hunt [aut, cre], Johann Gagnon-Bartsch [aut]

dtangle_2.0.9.tar.gz
dtangle_2.0.9.zip(r-4.7)dtangle_2.0.9.zip(r-4.6)dtangle_2.0.9.zip(r-4.5)
dtangle_2.0.9.tgz(r-4.6-any)dtangle_2.0.9.tgz(r-4.5-any)
dtangle_2.0.9.tar.gz(r-4.7-any)dtangle_2.0.9.tar.gz(r-4.6-any)
dtangle_2.0.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dtangle/json (API)

# Install 'dtangle' in R:
install.packages('dtangle', repos = c('https://gjhunt.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • shen_orr_ex - Example Subset of Shen-Orr deconvolution data set.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.72 score 44 scripts 252 downloads 6 mentions 3 exports 1 dependencies

Last updated from:990486bb16. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE123
source / vignettesOK381
linux-release-x86_64NOTE135
macos-release-arm64NOTE117
macos-oldrel-arm64NOTE102
windows-develNOTE75
windows-releaseNOTE128
windows-oldrelNOTE201
wasm-releaseOK98

Exports:dtangledtangle2find_markers

Dependencies:DEoptimR

Basic Deconvolution using dtangle

Greg Hunt

Rendered frombasic-deconvolution.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2019-12-01
Started: 2017-05-30

Basic Deconvolution using dtangle2

Greg Hunt

Rendered frombasic-deconvolution2.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2019-12-01
Started: 2019-12-01