Identification of distinct immune signatures in inclusion body myositis by peripheral blood immunophenotyping using machine learning models.
- DOI
- 10.1002/cti2.1504
- Published
- 2024-04-03
- Container
- Clin Transl Immunology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/cti2.1504,
title = {Identification of distinct immune signatures in inclusion body myositis by peripheral blood immunophenotyping using machine learning models.},
author = {McLeish E and Sooda A and Slater N and Beer K and Cooper I and Mastaglia FL and Needham M and Coudert JD.},
year = {2024},
journal = {Clin Transl Immunology},
doi = {10.1002/cti2.1504},
url = {https://doi.org/10.1002/cti2.1504}
}RIS
TY - JOUR TI - Identification of distinct immune signatures in inclusion body myositis by peripheral blood immunophenotyping using machine learning models. AU - McLeish E AU - Sooda A AU - Slater N AU - Beer K AU - Cooper I AU - Mastaglia FL AU - Needham M AU - Coudert JD. PY - 2024 JO - Clin Transl Immunology DO - 10.1002/cti2.1504 UR - https://doi.org/10.1002/cti2.1504 ER -
APA
E, M., A, S., N, S., K, B., I, C., FL, M., M, N., & JD., C. (2024). Identification of distinct immune signatures in inclusion body myositis by peripheral blood immunophenotyping using machine learning models.. Clin Transl Immunology. https://doi.org/10.1002/cti2.1504
Source records
- europe-pmc · retrieved 2026-09-25T11:16:22.597Z
- doaj · retrieved 2026-09-25T11:16:22.581Z
- hal · retrieved 2026-09-25T11:16:22.649Z