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
| Maintainer | Jaya Surya Doddetipalli <jayasuryadoddetipalli@gmail.com> |
| Author | Jaya Surya Doddetipalli [aut, cre] (ORCID: <https://orcid.org/0009-0002-8975-4425>) |
| License | MIT + file LICENSE |
| URL | https://github.com/Jaya-Surya-dev/scCertify |
| Bug Reports | https://github.com/Jaya-Surya-dev/scCertify/issues |
| Source branch | devel |
| biocViews | GeneExpression, RNASeq, Sequencing, SingleCell, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | scCertify_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)