Fig. 1 (IMAGE)

The University of Osaka

Fig. 1

Caption

scODIN (Optimized Detection and Inference of Names in scRNA-seq data) overview. a, Automatic top-level cell type identification to identify major clusters (CD4 T cells, B cells, monocytes) for further phenotyping. b, User-defined tier-based system identifies cells at different detail levels (Tier 1: specific subsets like Tregs and T helper cells; Tier 2: generic types like central and effector memory). c, Detection of accepted double labels for cells with intermediate phenotypes or transitional states between cell types. d, k-nearest neighbor (kNN) inference expands cell identification to recover cells affected by dropout events.

Credit

Tulyea et al. Journal of Immunology, 2025, licensed under CC BY-NC

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CC BY-NC

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