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InteRD: The Integrated and Robust Deconvolution

We developed the Integrated and Robust Deconvolution algorithm to infer cell-type proportions from target bulk RNA-seq data. This package is able to effectively integrate deconvolution results from multiple scRNA-seq datasets and calibrates estimates from reference-based deconvolution by taking into account extra biological information as priors. Moreover, the proposed algorithm is robust to inaccurate external information imposed in the deconvolution system.

Version: 0.1.1
Depends: R (≥ 3.5.0), Biobase
Imports: Rcpp (≥ 0.11.0), limSolve, cowplot, ggplot2, pheatmap, stats, DescTools, mgcv, reshape2
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-08-12
DOI: 10.32614/CRAN.package.InteRD
Author: Chixiang Chen [cre, aut], Yuk Yee Leung [aut], Matei Lonita [aut], Li-San Wang [aut], Mingyao Li [aut]
Maintainer: Chixiang Chen <chencxxy at hotmail.com>
BugReports: https://github.com/chencxxy28/InteRD/issues
License: Artistic-2.0
URL: https://github.com/chencxxy28/InteRD
NeedsCompilation: no
Materials: README NEWS
In views: Omics
CRAN checks: InteRD results

Documentation:

Reference manual: InteRD.pdf
Vignettes: InteRD

Downloads:

Package source: InteRD_0.1.1.tar.gz
Windows binaries: r-devel: InteRD_0.1.1.zip, r-release: InteRD_0.1.1.zip, r-oldrel: InteRD_0.1.1.zip
macOS binaries: r-release (arm64): InteRD_0.1.1.tgz, r-oldrel (arm64): InteRD_0.1.1.tgz, r-release (x86_64): InteRD_0.1.1.tgz, r-oldrel (x86_64): InteRD_0.1.1.tgz
Old sources: InteRD archive

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.