UniMap: Type‐Level Integration Enhances Biological Preservation and Interpretability in Single‐Cell Annotation

UniMap: Type‐Level Integration Enhances Biological Preservation and Interpretability in Single‐Cell Annotation

Abstract Integrating single‐cell datasets from multiple studies provides a cost‐effective way to build comprehensive cell atlases, granting deeper insights into cellular characteristics across diverse biological systems. However, current data integration methods struggle with interference in partial...

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Bibliographic Details
Main Authors: Haitao Hu, Yue Guo, Fujing Ge, Hao Yin, Hao Zhang, Zhesheng Zhou, Fangjie Yan, Qing Ye, Jialu Wu, Ji Cao, Chang‐Yu Hsieh, Bo Yang
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Advanced Science
Subjects:
batch effects
biological conservation
multi‐selective adversarial networks
single‐cell annotation
type‐level integration
Online Access:https://doi.org/10.1002/advs.202410790
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https://doi.org/10.1002/advs.202410790

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