Article

A supervised ontology-aware cell annotation method for single-cell transcriptomic data

2026-01-14

Abstract excerpt

Many single-cell RNA-seq annotation methods ignore the hierarchical nature of cell type classification. We present a probability propagation strategy that enforces ontological consistency and improves performance when applied to existing models without retraining. Combined with a lightweight logistic regression model trained on 42 million human cells, this yields SOCAM, a fast and interpretable classifier. We also...

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Literature Corpus work: 38a73f71-bddc-535d-8a6b-db627f038662
DOI: 10.64898/2026.01.13.699356

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