Package: Unico 0.1.0

Zeyuan Chen

Unico: Unified Cross-Omics Deconvolution

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>.

Authors:Zeyuan Chen [aut, cre], Elior Rahmani [aut]

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Unico.pdf |Unico.html✨
Unico/json (API)
NEWS

# Install 'Unico' in R:
install.packages('Unico', repos = c('https://cozygene.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cozygene/unico/issues

On CRAN:

4.48 score 1 stars 5 scripts 187 downloads 5 exports 25 dependencies

Last updated 9 months agofrom:5d44ded4f6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winOKOct 12 2024
R-4.5-linuxOKOct 12 2024
R-4.4-winOKOct 12 2024
R-4.4-macOKOct 12 2024
R-4.3-winOKOct 12 2024
R-4.3-macOKOct 12 2024

Exports:association_asymptoticassociation_parametricsimulate_datatensorUnico

Dependencies:bayesmcompositionsconfigdata.tableDEoptimRformatRfutile.loggerfutile.optionslambda.rlatticeMASSMatrixmatrixcalcmatrixStatsmgcvnlmenloptrpbapplypracmaRcppRcppArmadillorobustbasetensorAtestityaml

Unico-Tutorial

Rendered fromUnico-Tutorial.Rmdusingknitr::rmarkdownon Oct 12 2024.

Last update: 2024-01-12
Started: 2024-01-10