CelLink: integrating single-cell multi-omics data with weak feature linkage and imbalanced cell populations.
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| Title: | CelLink: integrating single-cell multi-omics data with weak feature linkage and imbalanced cell populations. |
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| Authors: | Luo X; Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States., Huang Y; Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States., Zeng H; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States., Tao Y; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, United States., Bao X; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, United States., Feng F; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, United States., Hopkirk AL; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, United States., Pham T; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, United States.; Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, TN 37232, United States., Bate TSR; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, United States., Saunders DC; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, United States., Orchard P; Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States., Robertson C; Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States., Shrestha S; Center for Stem Cell Biology, Vanderbilt University, Nashville, TN 37232, United States., Spraggins JM; Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, United States.; Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, TN 37232, United States., Cartailler JP; Center for Stem Cell Biology, Vanderbilt University, Nashville, TN 37232, United States., Parker SCJ; Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States., Brissova M; Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, United States., Liu J; Gilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States.; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, United States. |
| Source: | Nucleic acids research [Nucleic Acids Res] 2025 Nov 26; Vol. 53 (22). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN: 1362-4962 (Electronic) Linking ISSN: 03051048 NLM ISO Abbreviation: Nucleic Acids Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1362-4962 |
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| DOI: | 10.1093/nar/gkaf1270 |
