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:
Unico_0.1.0.tar.gz
Unico_0.1.0.zip(r-4.5)Unico_0.1.0.zip(r-4.4)Unico_0.1.0.zip(r-4.3)
Unico_0.1.0.tgz(r-4.4-any)Unico_0.1.0.tgz(r-4.3-any)
Unico_0.1.0.tar.gz(r-4.5-noble)Unico_0.1.0.tar.gz(r-4.4-noble)
Unico_0.1.0.tgz(r-4.4-emscripten)Unico_0.1.0.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/cozygene/unico/issues
Last updated 9 months agofrom:5d44ded4f6. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | OK | Nov 11 2024 |
R-4.5-linux | OK | Nov 11 2024 |
R-4.4-win | OK | Nov 11 2024 |
R-4.4-mac | OK | Nov 11 2024 |
R-4.3-win | OK | Nov 11 2024 |
R-4.3-mac | OK | Nov 11 2024 |
Exports:association_asymptoticassociation_parametricsimulate_datatensorUnico
Dependencies:bayesmcompositionsconfigdata.tableDEoptimRformatRfutile.loggerfutile.optionslambda.rlatticeMASSMatrixmatrixcalcmatrixStatsmgcvnlmenloptrpbapplypracmaRcppRcppArmadillorobustbasetensorAtestityaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Performs asymptotic statistical testing under no distribution assumption | association_asymptotic |
Performs parametric statistical testing | association_parametric |
Simulate data under Unico model assumption | simulate_data |
Inferring the underlying source-specific 3D tensor | tensor |
Fitting the Unico model | Unico |