https://emr-27.r-universe.devRecent package updates in emr-27R-universehttps://github.com/emr-27.pnghttps://emr-27.r-universe.devThu, 08 Oct 2026 09:42:54 GMTemr39515@gmail.com (Fuhao Jiang)Audits sample and donor design for two-condition single-cell pseudobulk differential expression analyses. Fits an edgeR quasi-likelihood model to each cell type and repeats the analysis after omitting each donor. Links planned donor omissions to design checks, fit outcomes and observed gene-effect changes. Provides descriptive summaries of donor-deletion sensitivity together with the coverage of valid effects.https://github.com/r-universe/biocstaging/actions/runs/37810543335Thu, 08 Oct 2026 09:42:54 GMTscDonorAudit0.99.9successhttps://biocstaging.r-universe.devhttps://github.com/BiocStaging/scDonorAuditscDonorAudit.RmdscDonorAudit.htmlAuditing donor influence in pseudobulk analysis2026-09-29 08:04:112026-10-06 10:52:47emr39515@gmail.com (Fuhao Jiang)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>.https://github.com/r-universe/emr-27/actions/runs/35081851655Sat, 05 Sep 2026 18:47:56 GMTdetectPanel0.1.3successhttps://emr-27.r-universe.devhttps://github.com/emr-27/detectpanelnested-validation.Rmdnested-validation.htmlLeakage-aware biomarker panel discovery2026-08-19 14:08:282026-09-05 18:20:03