Multiparameter phenotyping of platelets and characterization of the effects of agonists using machine learning
Background: Platelet function is driven by the expression of specialized surface markers. The concept of distinct circulating subpopulations of platelets has emerged in recent years, but their exact nature remains debatable. Objectives: To design a spectral flow cytometry–based phenotyping workflow...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2024-07-01
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| Серія: | Research and Practice in Thrombosis and Haemostasis |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2475037924002188 |
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