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
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dtangle_2.0.9.tgz(r-4.4-any)dtangle_2.0.9.tgz(r-4.3-any)
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dtangle.pdf |dtangle.html
dtangle/json (API)

# Install 'dtangle' in R:
install.packages('dtangle', repos = c('https://gjhunt.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • shen_orr_ex - Example Subset of Shen-Orr deconvolution data set.

On CRAN:

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

4.14 score 1 packages 38 scripts 264 downloads 6 mentions 3 exports 1 dependencies

Last updated 5 years agofrom:990486bb16. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winNOTENov 09 2024
R-4.5-linuxNOTENov 09 2024
R-4.4-winNOTENov 09 2024
R-4.4-macNOTENov 09 2024
R-4.3-winOKNov 09 2024
R-4.3-macOKNov 09 2024

Exports:dtangledtangle2find_markers

Dependencies:DEoptimR

Basic Deconvolution using dtangle

Rendered frombasic-deconvolution.Rmdusingknitr::rmarkdownon Nov 09 2024.

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

Basic Deconvolution using dtangle2

Rendered frombasic-deconvolution2.Rmdusingknitr::rmarkdownon Nov 09 2024.

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