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:
Downloads:
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