Bioc2026 Registration Open!

scCertify

Explainable Confidence Scoring for Single-Cell Annotations

Bioconductor version: 3.24 · Package version: 0.99.7

scCertify provides an explainable framework for assessing the confidence of cell-type annotations in single-cell RNA sequencing data. Confidence scores are computed using marker enrichment, neighborhood agreement, entropy-based uncertainty estimation, and ontology-aware label matching to support transparent interpretation of annotation quality.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scCertify")

Details

MaintainerJaya Surya Doddetipalli <jayasuryadoddetipalli@gmail.com>
AuthorJaya Surya Doddetipalli [aut, cre] (ORCID: <https://orcid.org/0009-0002-8975-4425>)
LicenseMIT + file LICENSE
URLhttps://github.com/Jaya-Surya-dev/scCertify
Bug Reportshttps://github.com/Jaya-Surya-dev/scCertify/issues
Source branchdevel
biocViewsGeneExpression, RNASeq, Sequencing, SingleCell, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagescCertify_0.99.7.tar.gz
Windows binary (x86_64)scCertify_0.99.7.zip
macOS binary (arm64)scCertify_0.99.7.tgz
macOS binary (x86_64)scCertify_0.99.7.tgz
Dependencies

Imports: Seurat, SingleCellExperiment, SummarizedExperiment, FNN, entropy, UCell

Suggests: BiocStyle, SingleR, celldex, ggplot2, knitr, rmarkdown, scDblFinder, SeuratObject, testthat (>= 3.0.0)