scDOT: optimal transport for mapping senescent cells in spatial transcriptomics.
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| Title: | scDOT: optimal transport for mapping senescent cells in spatial transcriptomics. |
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| Authors: | Nguyen ND; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA., Rosas L; Dorothy M. Davis Heart and Lung Research Institute, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, the Ohio State University, Columbus, OH, USA., Khaliullin T; Dorothy M. Davis Heart and Lung Research Institute, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, the Ohio State University, Columbus, OH, USA., Jiang P; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA., Hasanaj E; Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA., Ovando-Ricardez JA; Dorothy M. Davis Heart and Lung Research Institute, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, the Ohio State University, Columbus, OH, USA., Bueno M; Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Rahman I; Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USA., Pryhuber GS; Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA., Li D; Department of Clinical and Translational Research, University of Rochester Medical Center, Rochester, NY, USA., Ma Q; Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH, USA., Finkel T; Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Königshoff M; Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Eickelberg O; Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Rojas M; Dorothy M. Davis Heart and Lung Research Institute, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, the Ohio State University, Columbus, OH, USA., Mora AL; Dorothy M. Davis Heart and Lung Research Institute, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, the Ohio State University, Columbus, OH, USA., Lugo-Martinez J; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. jlugomar@andrew.cmu.edu., Bar-Joseph Z; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. zivbj@andrew.cmu.edu.; Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. zivbj@andrew.cmu.edu. |
| Source: | Genome biology [Genome Biol] 2024 Nov 08; Vol. 25 (1), pp. 288. Date of Electronic Publication: 2024 Nov 08. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1474-760X |
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| DOI: | 10.1186/s13059-024-03426-0 |
