基于张量的系统免疫与传染病洞察
Tensor-based insights into systems immunity and infectious disease.
机构信息
Department of Bioengineering, University of California Los Angeles (UCLA), Los Angeles, CA 90024, USA.
The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA 90502, USA; Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA; Division of Infectious Diseases, Department of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90502, USA; Division of Molecular Medicine, Department of Medicine, Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
出版信息
Trends Immunol. 2023 May;44(5):329-332. doi: 10.1016/j.it.2023.03.003. Epub 2023 Mar 29.
Abstract
Profiling immune responses across several dimensions, including time, patients, molecular features, and tissue sites, can deepen our understanding of immunity as an integrated system. These studies require new analytical approaches to realize their full potential. We highlight recent applications of tensor methods and discuss several future opportunities.
摘要
对免疫反应进行多维度分析，包括时间、患者、分子特征和组织部位，可以加深我们对免疫系统作为一个整体系统的理解。这些研究需要新的分析方法来充分发挥其潜力。我们重点介绍了张量方法的最新应用，并讨论了几个未来的机会。
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