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Unico: Unified Cross-Omics Deconvolution (original) (raw)

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
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

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