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Agents’ parameters and behaviours for the naïve T cell output model.

NIAID Data Ecosystem2026-03-08 收录

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https://figshare.com/articles/dataset/Agents_parameters_and_behaviours_for_the_na_ve_T_cell_output_model_/1354129 数据链接链接失效反馈

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Agents’ parameters and behaviours for the naïve T cell output model.

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创建时间：

2015-03-25

T细胞迁移模拟

免疫学建模

References that support the parameters are given where available. The entry rates into LNs and spleen are not experimental estimates but are adopted from earlier modeling work [17]. However, these val

NIAID Data Ecosystem80

Supplementary Material 2 from Multi-scale mechanistic modelling of the host defense in invasive aspergillosis reveals leucocyte activation and iron acquisition as drivers of infection outcome

免疫学建模

感染动力学

Supplementary information about model values for cytokine production rates

NIAID Data Ecosystem60

Systems Modeling of Molecular Mechanisms Controlling Cytokine-driven CD4+ T Cell Differentiation and Phenotype Plasticity

免疫学建模

肠道免疫调控

Differentiation of CD4+ T cells into effector or regulatory phenotypes is tightly controlled by the cytokine milieu, complex intracellular signaling networks and numerous transcriptional regulators. W

NIAID Data Ecosystem40

Parameters used in all simulations unless otherwise noted.

免疫学建模

感染动态模拟

Values are approximated within biologically relevant ranges, based on known immune system characteristics and previous modeling work [8], [14] (see Appendix S1 for details). Although the exact phase d

NIAID Data Ecosystem80

Supplementary Figures and Code HTML from Immunological feedback loops generate parasite persistence thresholds that explain variation in infection duration

免疫学建模

寄生虫感染动力学

HTML version of the R markdown file containing all code necessary to reproduce the results presented in the main text, as well as to produce supplemental figures.

The Royal Society Figshare2024-09-10 更新40

Agents’ parameters and behaviours for the naïve T cell output model.

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