SECTOR: structural entropy-based learning of spatiotemporal organisation in spatial transcriptomics.
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| Title: | SECTOR: structural entropy-based learning of spatiotemporal organisation in spatial transcriptomics. |
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| Authors: | Huang L; State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, 215123, China., Zhang J; School of Cyber Science and Technology, Beihang University, Beijing, 100191, China., Gong W; State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, 215123, China., Zeng G; School of Computer Science and Engineering, Beihang University, Beijing, 100191, China., Peng H; School of Cyber Science and Technology, Beihang University, Beijing, 100191, China., Chen D; State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou, 215123, China. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2026 Jun 01; Vol. 42 (6). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btag367 |
