HIGH-DIMENSIONAL SIMULATION OF SIMPLE IMMUNOLOGICAL MODELS

被引:9
|
作者
STAUFFER, D
SAHIMI, M
机构
[1] FORSCHUNGSZENTRUM JULICH, HLRZ, D-52425 JULICH 1, GERMANY
[2] UNIV SO CALIF, DEPT CHEM ENGN, LOS ANGELES, CA 90089 USA
[3] ST FRANCIS XAVIER UNIV, DEPT PHYS, ANTIGONISH 2W5 1C0, NS, CANADA
关键词
D O I
10.1006/jtbi.1994.1026
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We propose a simple model for idiotypic-antiidiotypic immunological networks which represents a simplification of the model originally suggested by Stewart and Varela, and de Boer, van der Laan and Hogeweg. Window cellular automata enlarge the antibody concentration if the influence of the immediate neighborhood lies between 70 and 99% of its maximum value; in addition random recruitment is possible. We simulate the model on large square lattices as well as in higher dimensions. The results are in qualitative agreement with those of the earlier model. Moreover, in five to ten dimensions we find phase separation for not too large recruitment, which then leads to domains growing to ‘infinity’ for infinite times. © 1994 Academic Press. All rights reserved.
引用
收藏
页码:289 / 297
页数:9
相关论文
共 50 条
  • [41] SEMIPARAMETRIC EFFICIENCY BOUNDS FOR HIGH-DIMENSIONAL MODELS
    Jankova, Jana
    van de Geer, Sara
    ANNALS OF STATISTICS, 2018, 46 (05): : 2336 - 2359
  • [42] High-dimensional inference in misspecified linear models
    Buehlmann, Peter
    van de Geer, Sara
    ELECTRONIC JOURNAL OF STATISTICS, 2015, 9 (01): : 1449 - 1473
  • [43] High-dimensional mediation analysis in survival models
    Luo, Chengwen
    Fa, Botao
    Yan, Yuting
    Wang, Yang
    Zhou, Yiwang
    Zhang, Yue
    Yu, Zhangsheng
    PLOS COMPUTATIONAL BIOLOGY, 2020, 16 (04)
  • [44] STATISTICAL INFERENCE WITH F-STATISTICS WHEN FITTING SIMPLE MODELS TO HIGH-DIMENSIONAL DATA
    Leeb, Hannes
    Steinberger, Lukas
    ECONOMETRIC THEORY, 2023, 39 (06) : 1249 - 1272
  • [45] A simple yet powerful test for assessing goodness-of-fit of high-dimensional linear models
    Zhang, Qi
    Chen, Feifei
    Wu, Shunyao
    Liang, Hua
    STATISTICS IN MEDICINE, 2021, 40 (13) : 3153 - 3166
  • [46] Three simple scenarios for high-dimensional sphere packings
    Charbonneau, Patrick
    Morse, Peter K.
    Perkins, Will
    Zamponi, Francesco
    PHYSICAL REVIEW E, 2021, 104 (06)
  • [47] Scaling limit for the ant in a simple high-dimensional labyrinth
    Ben Arous, Gerard
    Cabezas, Manuel
    Fribergh, Alexander
    PROBABILITY THEORY AND RELATED FIELDS, 2019, 174 (1-2) : 553 - 646
  • [48] Scaling limit for the ant in a simple high-dimensional labyrinth
    Gérard Ben Arous
    Manuel Cabezas
    Alexander Fribergh
    Probability Theory and Related Fields, 2019, 174 : 553 - 646
  • [49] Modelling high-dimensional data by combining simple experts
    Hinton, GE
    SEVENTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-2001) / TWELFTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE (IAAI-2000), 2000, : 1159 - 1164
  • [50] High-Dimensional Cytometry Dissects Immunological Fingerprints of Idiopathic Inflammatory Myopathies
    Nelke, Christopher
    Pawlitzki, Marc
    Schroeter, Christina B.
    Huntemann, Niklas
    Dobelmann, Vera
    Preusse, Corinna
    Roos, Andreas
    Allenbach, Yves
    Benveniste, Olivier
    Wiendl, Heinz
    Lundberg, Ingrid E.
    Stenzel, Werner
    Meuth, Sven G.
    Ruck, Tobias
    CELLS, 2022, 11 (20)