A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data.
Saved in:
| Title: | A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data. |
|---|---|
| Authors: | Wigerblad G; Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS/National Institutes of Health (NIH)), Bethesda, MD, United States., Carruthers J; Analysis and Intelligence Assessment Directorate, UK Health Security Agency, Salisbury, United Kingdom., Ray S; Health Analytics Network, Columbia, MD, United States.; Data Science Unit, The West Bengal National University of Juridical Sciences, Kolkata, India., Finnie T; Analysis and Intelligence Assessment Directorate, UK Health Security Agency, Salisbury, United Kingdom., Lythe G; Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, United Kingdom., Pyne S; Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS/National Institutes of Health (NIH)), Bethesda, MD, United States.; Health Analytics Network, Columbia, MD, United States.; Department of Statistics and Applied Probability, University of California Santa Barbara, Santa Barbara, CA, United States., Molina-París C; Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds, United Kingdom.; T-6, Theoretical Biology and Biophysics, Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, United States., Kaplan MJ; Systemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS/National Institutes of Health (NIH)), Bethesda, MD, United States. |
| Source: | Frontiers in immunology [Front Immunol] 2025 Oct 24; Vol. 16, pp. 1654015. Date of Electronic Publication: 2025 Oct 24 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1664-3224 |
|---|---|
| DOI: | 10.3389/fimmu.2025.1654015 |
