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, GA 30322, USA; Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA., Yang J; Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA. Electronic address: jingjing.yang@emory.edu., Epstein MP; Center for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA. Electronic address: mpepste@emory.edu. |
| Source: | American journal of human genetics [Am J Hum Genet] 2026 Jul 02; Vol. 113 (7), pp. 1495-1508. Date of Electronic Publication: 2026 Jun 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Cell Press Country of Publication: United States NLM ID: 0370475 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1537-6605 (Electronic) Linking ISSN: 00029297 NLM ISO Abbreviation: Am J Hum Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1537-6605 |
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| DOI: | 10.1016/j.ajhg.2026.05.005 |
