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scTACL: a multitask topology-aware contrastive learning approach for single-cell transcriptomics analysis.

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Title: scTACL: a multitask topology-aware contrastive learning approach for single-cell transcriptomics analysis.
Authors: Zhou M; School of Computer Science and Artificial Intelligence, Northeast Forestry University, Harbin 150040, China., Lu X; School of Computer Science and Artificial Intelligence, Northeast Forestry University, Harbin 150040, China., Liang Y; Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin 150080, China., Kow AWC; Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, National University Hospital, Singapore, 119074, Singapore.; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore., Wang G; School of Computer Science and Artificial Intelligence, Northeast Forestry University, Harbin 150040, China.; Department of Computer Science and Technology, Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China., Liu Q; School of Artificial Intelligence, Henan University, Zhengzhou 450000, China., Zhao Y; School of Computer Science and Artificial Intelligence, Northeast Forestry University, Harbin 150040, 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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  Data: scTACL: a multitask topology-aware contrastive learning approach for single-cell transcriptomics analysis.
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  Data: <searchLink fieldCode="AU" term="%22Zhou+M%22">Zhou M</searchLink>; School of Computer Science and Artificial Intelligence, Northeast Forestry University, Harbin 150040, China.<br /><searchLink fieldCode="AU" term="%22Lu+X%22">Lu X</searchLink>; School of Computer Science and Artificial Intelligence, Northeast Forestry University, Harbin 150040, China.<br /><searchLink fieldCode="AU" term="%22Liang+Y%22">Liang Y</searchLink>; Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin 150080, China.<br /><searchLink fieldCode="AU" term="%22Kow+AWC%22">Kow AWC</searchLink>; Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, National University Hospital, Singapore, 119074, Singapore.; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore.<br /><searchLink fieldCode="AU" term="%22Wang+G%22">Wang G</searchLink>; School of Computer Science and Artificial Intelligence, Northeast Forestry University, Harbin 150040, China.; Department of Computer Science and Technology, Faculty of Computing, Harbin Institute of Technology, Harbin 150001, China.<br /><searchLink fieldCode="AU" term="%22Liu+Q%22">Liu Q</searchLink>; School of Artificial Intelligence, Henan University, Zhengzhou 450000, China.<br /><searchLink fieldCode="AU" term="%22Zhao+Y%22">Zhao Y</searchLink>; School of Computer Science and Artificial Intelligence, Northeast Forestry University, Harbin 150040, China.
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  Data: <searchLink fieldCode="JN" term="%229808944%22">Bioinformatics (Oxford, England)</searchLink> [Bioinformatics] 2026 Jun 01; Vol. 42 (6).
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        Value: 10.1093/bioinformatics/btag361
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              Text: 2026 Jun 01
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