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
Author: Chixiang Chen [cre, aut], Yuk Yee Leung [aut], Matei Lonita [aut], Li-San Wang [aut], Mingyao Li [aut]
Maintainer: Chixiang Chen <chencxxy at>
License: Artistic-2.0
NeedsCompilation: no
Materials: README NEWS
CRAN checks: InteRD results


Reference manual: InteRD.pdf
Vignettes: InteRD


Package source: InteRD_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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