A variational deep-learning approach to modeling memory T cell dynamics.

• Tác giả: Donna L Farber, Joshua I Gray, Daniel H Paik, Christiaan H van Dorp, Andrew J Yates
• Ngôn ngữ: eng
• Ký hiệu phân loại: 153.1 Memory and learning
• Thông tin xuất bản: United States : bioRxiv : the preprint server for biology , 2025
• Bộ sưu tập: NCBI
• ID: 683473

Tóm tắt

 Mechanistic models of dynamic, interacting cell populations have yielded many insights into the growth and resolution of immune responses. Historically these models have described the behavior of pre-defined cell types based on small numbers of phenotypic markers. The ubiquity of deep phenotyping therefore presents a new challenge
  how do we confront tractable and interpretable mathematical models with high-dimensional data? To tackle this problem, we studied the development and persistence of lung-resident memory CD4 and CD8 T cells (T