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Gunho Choi

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Open access Jul 2026

scFANCL: Dual contrastive learning with false-negative correction at cell level for single-cell RNA-seq clustering

ScFANCL addresses a key limitation of conventional contrastive learning by applying a cosine-similarity-based threshold to exclude cells of the same type from the negative pool, thereby preserving biological continuity within cell types while maintaining inter-cluster separation.

Gunho Choi, Minsik Oh · 0 citations

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