CellMemory: hierarchical interpretation of out-of-distribution cells using bottlenecked transformer

CellMemory: hierarchical interpretation of out-of-distribution cells using bottlenecked transformer

Abstract Machine learning methods, especially Transformer architectures, have been widely employed in single-cell omics studies. However, interpretability and accurate representation of out-of-distribution (OOD) cells remains challenging. Inspired by the global workspace theory in cognitive neurosci...

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Main Authors: Qifei Wang, He Zhu, Yiwen Hu, Yanjie Chen, Yuwei Wang, Guochao Li, Yun Li, Jinfeng Chen, Xuegong Zhang, James Zou, Manolis Kellis, Yue Li, Dianbo Liu, Lan Jiang
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Genome Biology
Online Access:https://doi.org/10.1186/s13059-025-03638-y
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https://doi.org/10.1186/s13059-025-03638-y

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