ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learning.
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| Title: | ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learning. |
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| Authors: | Long Y; Department of Automation, National Institute for Data Science in Health and Medicine, State Key Laboratory of Mariculture Breeding, Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision, Xiamen University, Xiamen, Fujian, China., Zhang W; Department of Automation, National Institute for Data Science in Health and Medicine, State Key Laboratory of Mariculture Breeding, Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision, Xiamen University, Xiamen, Fujian, China., Cao L; Department of Automation, National Institute for Data Science in Health and Medicine, State Key Laboratory of Mariculture Breeding, Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision, Xiamen University, Xiamen, Fujian, China., Huang X; Department of Medical Oncology, Fuzhou First Hospital Affiliated with Fujian Medical University, Fuzhou, Fujian, China., Wang Y; Department of Automation, National Institute for Data Science in Health and Medicine, State Key Laboratory of Mariculture Breeding, Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision, Xiamen University, Xiamen, Fujian, China. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Aug 06; Vol. 22 (8), pp. e1014602. Date of Electronic Publication: 2026 Aug 06 (Print Publication: 2026). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1014602 |
