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 |