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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | detectPanel_0.1.3.tar.gz |
152.0 KiB |
0.1.3 |
rolling linux/noble R-4.5 | detectPanel_0.1.3.tar.gz |
151.9 KiB |
0.1.3 |
rolling source/ R- | detectPanel_0.1.3.tar.gz |
41.4 KiB |
0.1.3 |
latest linux/jammy R-4.5 | detectPanel_0.1.3.tar.gz |
152.0 KiB |
0.1.3 |
latest linux/noble R-4.5 | detectPanel_0.1.3.tar.gz |
151.9 KiB |
0.1.3 |
latest source/ R- | detectPanel_0.1.3.tar.gz |
41.4 KiB |
0.1.3 |
2026-04-23 source/ R- | detectPanel_0.1.3.tar.gz |
0 B |