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dicepro: Semi-Supervised Deconvolution of Bulk RNA-Seq Data with Hyperparameter Optimization

Performs semi-supervised deconvolution of bulk RNA sequencing (RNA-seq) data. Known cell-type proportions are estimated using supervised methods – 'CIBERSORTx' (CSx), 'CIBERSORT' (CS), 'FARDEEP' (Fast And Robust DEconvolution of Expression Profiles), and 'DCQ' (Digital Cell Quantifier) – while unknown components are inferred using non-negative matrix factorization ('NMF') with limited-memory Broyden-Fletcher-Goldfarb-Shanno with bounds ('L-BFGS-B') optimization. Hyperparameters are selected automatically using a Pareto-frontier-based approach with knee-point detection, allowing application when the reference signature matrix is incomplete. More details about 'DICEpro' can be found in Ba et al. (2026) <doi:10.64898/2026.06.17.732876>.

Version: 1.0.2
Depends: R (≥ 4.1.0)
Imports: Rcpp (≥ 1.0.12), lbfgsb3c, KraljicMatrix, ggplot2, patchwork, FARDEEP, ComICS, lme4, e1071, preprocessCore, parallel
LinkingTo: Rcpp (≥ 1.0.12), RcppEigen
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-30
DOI: 10.32614/CRAN.package.dicepro (may not be active yet)
Author: Kalidou BA [aut, cre], Boris P. Hejblum [aut]
Maintainer: Kalidou BA <sistm.soft.maintain at gmail.com>
BugReports: https://github.com/kalidouBA/dicepro/issues
License: MIT + file LICENSE
URL: https://github.com/kalidouBA/dicepro
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: dicepro results

Documentation:

Reference manual: dicepro.html , dicepro.pdf
Vignettes: dicepro - Hyperparameter Search Space Visualization (source, R code)
dicepro - Real Data Workflow (BlueCode + CellMixtures) (source, R code)
dicepro - Simulated Data Workflow (source, R code)

Downloads:

Package source: dicepro_1.0.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): dicepro_1.0.2.tgz, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dicepro to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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