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 |
| 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 |