2024
DOI: 10.1002/qub2.33
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Accurate cell type annotation for single‐cell chromatin accessibility data via contrastive learning and reference guidance

Siyu Li,
Songming Tang,
Yunchang Wang
et al.

Abstract: Recent advances in single‐cell chromatin accessibility sequencing (scCAS) technologies have resulted in new insights into the characterization of epigenomic heterogeneity and have increased the need for automatic cell type annotation. However, existing automatic annotation methods for scCAS data fail to incorporate the reference data and neglect novel cell types, which only exist in a test set. Here, we propose RAINBOW, a reference‐guided automatic annotation method based on the contrastive learning framework,… Show more

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