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detectPanel: Leakage-Aware Discovery of Small Biomarker Panels

Discovers small binary-classification biomarker panels from count or expression matrices while prioritizing detectability, expression stability, and univariate discrimination. Candidate filtering and panel selection can be repeated inside nested cross-validation to reduce information leakage. The package provides shared resampling splits, exhaustive small-panel search, logistic model fitting with an automatic ridge fallback for unstable separation-prone fits, out-of-fold evaluation, selection-frequency summaries, and optional 'DESeq2' differential-expression support. The nested model-selection workflow follows Varma and Simon (2006) <doi:10.1186/1471-2105-7-91>, and the optional differential-expression analysis uses Love, Huber, and Anders (2014) <doi:10.1186/s13059-014-0550-8>.

Version: 0.1.3
Depends: R (≥ 4.2.0)
Imports: ggplot2, graphics, stats, utils
Suggests: DESeq2, knitr, rmarkdown, pheatmap, testthat (≥ 3.0.0)
Published: 2026-09-15
DOI: 10.32614/CRAN.package.detectPanel
Author: Fuhao Jiang [aut, cre]
Maintainer: Fuhao Jiang <emr39515 at gmail.com>
BugReports: https://github.com/Emr-27/detectPanel/issues
License: MIT + file LICENSE
URL: https://github.com/Emr-27/detectPanel
NeedsCompilation: no
Citation: detectPanel citation info
Materials: README, NEWS
CRAN checks: detectPanel results

Documentation:

Reference manual: detectPanel.html , detectPanel.pdf
Vignettes: Leakage-aware biomarker panel discovery (source, R code)

Downloads:

Package source: detectPanel_0.1.3.tar.gz
Windows binaries: r-devel: detectPanel_0.1.3.zip, r-release: detectPanel_0.1.3.zip, r-oldrel: detectPanel_0.1.3.zip
macOS binaries: r-release (arm64): detectPanel_0.1.3.tgz, r-oldrel (arm64): detectPanel_0.1.3.tgz, r-release (x86_64): detectPanel_0.1.3.tgz, r-oldrel (x86_64): detectPanel_0.1.3.tgz

Linking:

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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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