Author

Shaole Chang

Chinese Academy of Sciences

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:perturbation response prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Chen FangiD· 1 shared Cong LiiD· 1 shared Guihai FengiD· 1 shared Guole LiuiD· 1 shared Guoping HuiD· 1 shared H Z WangiD· 1 shared Haiping JiangiD· 1 shared Hanshuo LuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Chen FangORCID

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2 papers

Recent·Most cited

CellOS: Learning a World Model of Cellular State through Joint Embedding Prediction

Q Zhou, Yuan Le, Xiaoning Qi, Hanshuo Lu, Shaole Chang, Yujia Wu, H Z Wang, Ruoyao Ran, X F Li

CellOS is a multi-view foundation model trained on single-cell transcriptomes that outperforms existing models in cell-state annotation, batch integration, and perturbation-response prediction.

bioRxiv · Jun 25, 2026 · PreprintBioinformatics

Cell-Graph Compass: Modeling Single Cells with Graph Structure Foundation Model

Chen Fang, Wentao Cui, Zhilong Hu, Wenhao Liu, Shubai Chen, Shaole Chang, Qingqing Long, Cong Li, Yana Liu, Haiping Jiang, Pengfei Wang, Jia Pan, Guoping Hu, Guole Liu, Zhen Meng, , Xin Li

Cell-Graph Compass (CGC) is a foundation model that uses graph structures to represent single cells, capturing multiple biological perspectives and achieving state-of-the-art results in downstream tasks.

National Science Review · Jun 24, 2025Peer-reviewedBioinformatics