Annotation-free discovery of disease-relevant cells in single-cell datasets.

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Bibliographic Details
Title: Annotation-free discovery of disease-relevant cells in single-cell datasets.
Authors: Craig E; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Keyes TJ; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.; Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Department of Pediatrics, Stanford University, Stanford, CA, USA., Sarno J; Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Department of Pediatrics, Stanford University, Stanford, CA, USA.; Tettamanti Center, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.; School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy., D'Silva JP; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Domizi P; Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Department of Pediatrics, Stanford University, Stanford, CA, USA., Zaslavsky M; Department of Genetics, Stanford University, Stanford, CA, USA., Tsai A; Department of Pathology, Stanford University, Stanford, CA, USA., Glass D; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA., Nolan GP; Department of Pathology, Stanford University, Stanford, CA, USA., Hastie T; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.; Department of Statistics, Stanford University, Stanford, CA, USA., Tibshirani R; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.; Department of Statistics, Stanford University, Stanford, CA, USA., Davis KL; Division of Hematology, Oncology, Stem Cell Transplant and Regenerative Medicine, Department of Pediatrics, Stanford University, Stanford, CA, USA.; Center for Cancer Cell Therapy, Stanford University, Stanford, CA, USA.
Source: Science advances [Sci Adv] 2025 Aug 29; Vol. 11 (35), pp. eadv5019. Date of Electronic Publication: 2025 Aug 27.
Publication Type: Journal Article
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE
Database: MEDLINE Ultimate
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