Hypergraph representations of single-cell RNA sequencing data for improved cell clustering.

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Bibliographic Details
Title: Hypergraph representations of single-cell RNA sequencing data for improved cell clustering.
Authors: He W; Network Science Institute, Northeastern University, Boston, MA 02115, United States., Bolnick DI; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269, United States., Scarpino SV; Network Science Institute, Northeastern University, Boston, MA 02115, United States.; Institute for Experiential AI, Northeastern University, Boston, MA 02115, United States.; Bouve College of Health Sciences, Northeastern University, Boston, MA 02115, United States.; Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, United States.; Vermont Complex Systems Institute, University of Vermont, Burlington, VT 05405, United States.; Santa Fe Institute, Santa Fe, NM 87501, United States., Eliassi-Rad T; Network Science Institute, Northeastern University, Boston, MA 02115, United States.; Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, United States.; Vermont Complex Systems Institute, University of Vermont, Burlington, VT 05405, United States.; Santa Fe Institute, Santa Fe, NM 87501, United States.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2026 Apr 07; Vol. 42 (4).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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