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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| ISSN: | 1744-4292 |
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| DOI: | 10.1038/s44320-026-00208-7 |
