scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics.

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Title: scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics.
Authors: Bai D; Mohamed bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi, UAE., Mo S; Mohamed bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi, UAE., Zhang R; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA., Luo Y; Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA., Gao J; Department of Medicine, University of California San Diego, La Jolla, CA, USA., Yang JP; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA., Wu Q; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA., Rahmani H; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA., Amariuta T; Department of Medicine, University of California San Diego, La Jolla, CA, USA.; Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA., Grotjahn D; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA., Zhong S; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA., Lewis N; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.; Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA., Wang W; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA.; Department of Cellular and Molecular Medicine, School of Medicine, University of California San Diego, La Jolla, CA, USA., Ideker T; Department of Medicine, University of California San Diego, La Jolla, CA, USA.; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA., Xie P; Mohamed bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi, UAE. p1xie@ucsd.edu.; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA. p1xie@ucsd.edu.; Department of Medicine, University of California San Diego, La Jolla, CA, USA. p1xie@ucsd.edu.; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA. p1xie@ucsd.edu.; Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA. p1xie@ucsd.edu.; School of Biological Sciences, University of California San Diego, La Jolla, CA, USA. p1xie@ucsd.edu., Xing E; Mohamed bin Zayed University of Artificial Intelligence, Masdar City, Abu Dhabi, UAE. epxing@cs.cmu.edu.; Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. epxing@cs.cmu.edu.
Source: Nature communications [Nat Commun] 2026 Feb 05; Vol. 17 (1). Date of Electronic Publication: 2026 Feb 05.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2041-1723
DOI:10.1038/s41467-026-69102-y