Semi-Supervised Deconvolution of Bulk RNA-Seq Data with Hyperparameter Optimization
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-07-01
Documentation
- Help pages
- 27includes a package overview page
- Examples that run
- 82%9 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 48%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 7%
Downloads
Repository
Stars over time
Issues over time
PRs over time
5 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/kalidouba/dicepro on 2026-10-25.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing dicepro adds 47 packages (24 with compiled code, 39 MB of source tarballs). Heaviest: ggplot2 6.0 MB, lme4 4.3 MB, patchwork 3.2 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
- 1.0.2Latest2026-06-30 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-30
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 1.7 MB / 2 files
- Download size
- 1.8 MB
Cite
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Run in R for the authors' preferred citation:
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