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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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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.
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