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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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