Organization of the human intestine at single-cell resolution.
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| Title: | Organization of the human intestine at single-cell resolution. |
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| Authors: | Hickey JW; Department of Pathology, Stanford School of Medicine, Stanford, CA, USA., Becker WR; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Nevins SA; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Horning A; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Perez AE; Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA, USA., Zhu C; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Zhu B; Department of Pathology, Stanford School of Medicine, Stanford, CA, USA., Wei B; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Chiu R; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Chen DC; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Cotter DL; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Esplin ED; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Weimer AK; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Caraccio C; Department of Pathology, Stanford School of Medicine, Stanford, CA, USA., Venkataraaman V; Department of Pathology, Stanford School of Medicine, Stanford, CA, USA., Schürch CM; Department of Pathology, Stanford School of Medicine, Stanford, CA, USA.; Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany., Black S; Department of Pathology, Stanford School of Medicine, Stanford, CA, USA., Brbić M; Department of Computer Science, Stanford University, Stanford, CA, USA.; School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland., Cao K; Department of Computer Science, Stanford University, Stanford, CA, USA., Chen S; Department of Statistics and Data Science, University of Pennsylvania, Pennsylvania, PA, USA., Zhang W; Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA, USA., Monte E; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., Zhang NR; Department of Statistics and Data Science, University of Pennsylvania, Pennsylvania, PA, USA., Ma Z; Department of Statistics and Data Science, University of Pennsylvania, Pennsylvania, PA, USA., Leskovec J; Department of Computer Science, Stanford University, Stanford, CA, USA., Zhang Z; Department of Surgery, Washington University, St Louis, MO, USA., Lin S; Department of Medicine, University of Washington, Seattle, WA, USA., Longacre T; Department of Pathology, Stanford School of Medicine, Stanford, CA, USA., Plevritis SK; Department of Biomedical Data Science, Stanford School of Medicine, Stanford, CA, USA., Lin Y; Department of Surgery, Washington University, St Louis, MO, USA., Nolan GP; Department of Pathology, Stanford School of Medicine, Stanford, CA, USA. gnolan@stanford.edu., Greenleaf WJ; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA. wjg@stanford.edu., Snyder M; Department of Genetics, Stanford School of Medicine, Stanford, CA, USA. mpsnyder@stanford.edu. |
| Source: | Nature [Nature] 2023 Jul; Vol. 619 (7970), pp. 572-584. Date of Electronic Publication: 2023 Jul 19. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4687 (Electronic) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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