Identifying condition-related cell-cell communication events using supervised tensor analysis.
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| Title: | Identifying condition-related cell-cell communication events using supervised tensor analysis. |
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| Authors: | Dai Q; Department of Biostatistics and Bioinformatics, Emory University School of Public Health, Atlanta, Georgia 30322, United States of America.; Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia 30322, United States of America., Yang J; Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia 30322, United States of America., Epstein MP; Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia 30322, United States of America. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Jun 19. Date of Electronic Publication: 2025 Jun 19. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2692-8205 |
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| DOI: | 10.1101/2023.12.15.571918 |
