scCertify - Explainable Confidence Scoring for Single-Cell Annotations

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.