Package: dtangle 2.0.10

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_2.0.10.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
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.

3.80 score 1 stars 52 scripts 652 downloads 6 mentions 3 exports 1 dependencies

Last updated from:2b58975fa0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK127
source / vignettesOK168
linux-releaseOK119
macos-releaseOK138
macos-oldrelOK139
windows-develOK74
windows-releaseOK80
windows-oldrelOK69
wasm-releaseOK123

Exports:dtangledtangle2find_markers

Dependencies:DEoptimR

Basic Deconvolution using dtangle
The Data | Arguments | 1. Y, references, and pure_samples | 2. n_markers, markers and marker_method | Letting dtangle determine the marker genes. | Specifying the marker genes explicitly. | How dtangle finds markers | 3. gamma and data_type | 4. summary_fn

Last update: 2026-08-21
Started: 2017-05-30

Basic Deconvolution using dtangle2
The Data | Arguments | 1. Y, references, and pure_samples | 2. n_markers, markers and marker_method | Letting dtangle2 determine the marker genes. | Specifying the marker genes explicitly. | How dtangle2 finds markers | inv_scale: supplying the correct scale data to dtangle2

Last update: 2026-08-21
Started: 2019-12-01