Interpretable deep generative ensemble learning for single-cell omics with Hydra.
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| Title: | Interpretable deep generative ensemble learning for single-cell omics with Hydra. |
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| Authors: | Wagle MM; School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia.; Computational Systems Biology Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia.; Sydney Precision Data Science Center, The University of Sydney, Camperdown, NSW, Australia.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA., Liu C; School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia.; Computational Systems Biology Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia., Liu Z; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.; Computational Biology Group, The Broad Institute of MIT and Harvard, Cambridge, MA, USA., Wang Y; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.; Computational Biology Group, The Broad Institute of MIT and Harvard, Cambridge, MA, USA., Kellis M; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.; Computational Biology Group, The Broad Institute of MIT and Harvard, Cambridge, MA, USA., Patrick E; School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia. ellis.patrick@sydney.edu.au.; Sydney Precision Data Science Center, The University of Sydney, Camperdown, NSW, Australia. ellis.patrick@sydney.edu.au.; Charles Perkins Center, The University of Sydney, Camperdown, NSW, Australia. ellis.patrick@sydney.edu.au.; Center for Cancer Research, Westmead Institute for Medical Research, Westmead, NSW, Australia. ellis.patrick@sydney.edu.au., Yang P; School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia. pengyi.yang@sydney.edu.au.; Computational Systems Biology Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia. pengyi.yang@sydney.edu.au.; Sydney Precision Data Science Center, The University of Sydney, Camperdown, NSW, Australia. pengyi.yang@sydney.edu.au.; Charles Perkins Center, The University of Sydney, Camperdown, NSW, Australia. pengyi.yang@sydney.edu.au. |
| Source: | Molecular systems biology [Mol Syst Biol] 2026 Jul; Vol. 22 (7), pp. 1161-1179. Date of Electronic Publication: 2026 Apr 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: EMBO Press Country of Publication: Germany NLM ID: 101235389 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1744-4292 (Electronic) Linking ISSN: 17444292 NLM ISO Abbreviation: Mol Syst Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41965454 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Interpretable deep generative ensemble learning for single-cell omics with Hydra. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wagle+MM%22">Wagle MM</searchLink>; School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia.; Computational Systems Biology Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia.; Sydney Precision Data Science Center, The University of Sydney, Camperdown, NSW, Australia.; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Liu+C%22">Liu C</searchLink>; School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia.; Computational Systems Biology Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia.<br /><searchLink fieldCode="AU" term="%22Liu+Z%22">Liu Z</searchLink>; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.; Computational Biology Group, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.; Computational Biology Group, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Kellis+M%22">Kellis M</searchLink>; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.; Computational Biology Group, The Broad Institute of MIT and Harvard, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Patrick+E%22">Patrick E</searchLink>; School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia. ellis.patrick@sydney.edu.au.; Sydney Precision Data Science Center, The University of Sydney, Camperdown, NSW, Australia. ellis.patrick@sydney.edu.au.; Charles Perkins Center, The University of Sydney, Camperdown, NSW, Australia. ellis.patrick@sydney.edu.au.; Center for Cancer Research, Westmead Institute for Medical Research, Westmead, NSW, Australia. ellis.patrick@sydney.edu.au.<br /><searchLink fieldCode="AU" term="%22Yang+P%22">Yang P</searchLink>; School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia. pengyi.yang@sydney.edu.au.; Computational Systems Biology Unit, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW, Australia. pengyi.yang@sydney.edu.au.; Sydney Precision Data Science Center, The University of Sydney, Camperdown, NSW, Australia. pengyi.yang@sydney.edu.au.; Charles Perkins Center, The University of Sydney, Camperdown, NSW, Australia. pengyi.yang@sydney.edu.au. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101235389%22">Molecular systems biology</searchLink> [Mol Syst Biol] 2026 Jul; Vol. 22 (7), pp. 1161-1179. <i>Date of Electronic Publication: </i>2026 Apr 11. – 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="%22EMBO+Press%22">EMBO Press </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101235389 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1744-4292 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2217444292%22">17444292 </searchLink><i>NLM ISO Abbreviation: </i>Mol Syst Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41965454 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s44320-026-00208-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1161 Titles: – TitleFull: Interpretable deep generative ensemble learning for single-cell omics with Hydra. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wagle MM – PersonEntity: Name: NameFull: Liu C – PersonEntity: Name: NameFull: Liu Z – PersonEntity: Name: NameFull: Wang Y – PersonEntity: Name: NameFull: Kellis M – PersonEntity: Name: NameFull: Patrick E – PersonEntity: Name: NameFull: Yang P IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1744-4292 Numbering: – Type: volume Value: 22 – Type: issue Value: 7 Titles: – TitleFull: Molecular systems biology Type: main |
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