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detectPanel  

Leakage-Aware Discovery of Small Biomarker Panels
View on CRAN: Click here


Download and install detectPanel package within the R console
Install from CRAN:
install.packages("detectPanel")

Install from Github:
library("remotes")
install_github("cran/detectPanel")

Install by package version:
library("remotes")
install_version("detectPanel", "0.1.3")



Attach the package and use:
library("detectPanel")
Maintained by
Fuhao Jiang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-15
Latest Update: 2026-09-15
Description:
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>.
How to cite:
Fuhao Jiang (2026). detectPanel: Leakage-Aware Discovery of Small Biomarker Panels. R package version 0.1.3, https://cran.r-project.org/web/packages/detectPanel. Accessed 03 Oct. 2026.
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Maintainer: Lu Mao (view profile)

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