Specificity-driven cell-gene graph learning identifies rare cell states in single-cell and spatial transcriptomic data.
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| Title: | Specificity-driven cell-gene graph learning identifies rare cell states in single-cell and spatial transcriptomic data. |
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| Authors: | Huang J; School of Agriculture and Biotechnology, Sun Yat-Sen University Shenzhen Campus, Shenzhen, 518107, China.; MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, Guangdong Provincial Key Laboratory of Plant Stress, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China., Xia X; MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, Guangdong Provincial Key Laboratory of Plant Stress, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China., Luo F; School of Agriculture and Biotechnology, Sun Yat-Sen University Shenzhen Campus, Shenzhen, 518107, China., Qu L; MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, Guangdong Provincial Key Laboratory of Plant Stress, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China., Feng X; School of Agriculture and Biotechnology, Sun Yat-Sen University Shenzhen Campus, Shenzhen, 518107, China. fengx83@mail.sysu.edu.cn., Zheng L; School of Agriculture and Biotechnology, Sun Yat-Sen University Shenzhen Campus, Shenzhen, 518107, China. zhengll33@mail.sysu.edu.cn.; MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, Guangdong Provincial Key Laboratory of Plant Stress, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China. zhengll33@mail.sysu.edu.cn. |
| Source: | Advanced biotechnology [Adv Biotechnol (Singap)] 2026 Jul 16; Vol. 4 (3). Date of Electronic Publication: 2026 Jul 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Singapore Country of Publication: Singapore NLM ID: 9918821788106676 Publication Model: Electronic Cited Medium: Internet ISSN: 2948-2801 (Electronic) Linking ISSN: 29482801 NLM ISO Abbreviation: Adv Biotechnol (Singap) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2948-2801 |
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| DOI: | 10.1007/s44307-026-00121-y |
