Histology-informed spatial domain identification through multi-view graph convolutional networks.
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| Title: | Histology-informed spatial domain identification through multi-view graph convolutional networks. |
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| Authors: | Zhang H; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.; School of Information Technology, College of Science, Technology, Engineering and Mathematics, Murdoch University, Murdoch, Australia., Chang J; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China., Li Z; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China., Sun Y; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China., Hu P; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China., Wang H; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China., Yang H; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China., Ren Y; College of Environmental and Life Sciences, Murdoch University, Murdoch, Australia., Zhang X; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China., Chen Z; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China., Wong KW; School of Information Technology, College of Science, Technology, Engineering and Mathematics, Murdoch University, Murdoch, Australia., Shao H; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Jun 01; Vol. 22 (6), pp. e1014281. Date of Electronic Publication: 2026 Jun 01 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| 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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42224211 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Histology-informed spatial domain identification through multi-view graph convolutional networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.; School of Information Technology, College of Science, Technology, Engineering and Mathematics, Murdoch University, Murdoch, Australia.<br /><searchLink fieldCode="AU" term="%22Chang+J%22">Chang J</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.<br /><searchLink fieldCode="AU" term="%22Li+Z%22">Li Z</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Sun+Y%22">Sun Y</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Hu+P%22">Hu P</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Wang+H%22">Wang H</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Yang+H%22">Yang H</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.<br /><searchLink fieldCode="AU" term="%22Ren+Y%22">Ren Y</searchLink>; College of Environmental and Life Sciences, Murdoch University, Murdoch, Australia.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.<br /><searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China.<br /><searchLink fieldCode="AU" term="%22Wong+KW%22">Wong KW</searchLink>; School of Information Technology, College of Science, Technology, Engineering and Mathematics, Murdoch University, Murdoch, Australia.<br /><searchLink fieldCode="AU" term="%22Shao+H%22">Shao H</searchLink>; Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 Jun 01; Vol. 22 (6), pp. e1014281. <i>Date of Electronic Publication: </i>2026 Jun 01 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42224211 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1014281 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1014281 Titles: – TitleFull: Histology-informed spatial domain identification through multi-view graph convolutional networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang H – PersonEntity: Name: NameFull: Chang J – PersonEntity: Name: NameFull: Li Z – PersonEntity: Name: NameFull: Sun Y – PersonEntity: Name: NameFull: Hu P – PersonEntity: Name: NameFull: Wang H – PersonEntity: Name: NameFull: Yang H – PersonEntity: Name: NameFull: Ren Y – PersonEntity: Name: NameFull: Zhang X – PersonEntity: Name: NameFull: Chen Z – PersonEntity: Name: NameFull: Wong KW – PersonEntity: Name: NameFull: Shao H IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Jun 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1553-7358 Numbering: – Type: volume Value: 22 – Type: issue Value: 6 Titles: – TitleFull: PLoS computational biology Type: main |
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