Unico: Unified Cross-Omics Deconvolution

UNIfied Cross-Omics deconvolution (Unico) deconvolves standard 2-dimensional bulk matrices of samples by features into a 3-dimensional tensors representing samples by features by cell types. Unico stands out as the first principled model-based deconvolution method that is theoretically justified for any heterogeneous genomic data. For more details see Chen and Rahmani et al. (2024) <doi:10.1101/2024.01.27.577588>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: compositions, config, data.table, futile.logger, MASS, matrixcalc, matrixStats, mgcv, nloptr, parallel, pbapply, pracma, stats, testit, utils
Suggests: egg, hexbin, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-02-26
DOI: 10.32614/CRAN.package.Unico
Author: Zeyuan Chen [aut, cre], Elior Rahmani [aut]
Maintainer: Zeyuan Chen <johnsonchen at cs.ucla.edu>
BugReports: https://github.com/cozygene/Unico/issues
License: GPL-3
URL: https://cozygene.github.io/Unico/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Unico results


Reference manual: Unico.pdf
Vignettes: Unico-Tutorial


Package source: Unico_0.1.0.tar.gz
Windows binaries: r-devel: Unico_0.1.0.zip, r-release: Unico_0.1.0.zip, r-oldrel: Unico_0.1.0.zip
macOS binaries: r-release (arm64): Unico_0.1.0.tgz, r-oldrel (arm64): Unico_0.1.0.tgz, r-release (x86_64): Unico_0.1.0.tgz, r-oldrel (x86_64): Unico_0.1.0.tgz


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