Clonal Selection Modeling
Clonal Selection Modeling is a computational framework within immune system modeling that formalizes the clonal selection theory by simulating the activation, proliferation, and differentiation of lymphocytes in response to antigenic stimuli, distinguishing itself through its focus on affinity-based selection and mutation mechanisms in adaptive immune responses.
61
Publications
4.2K
Citations
153
Authors
77
Institutions
Publications per year
2017–2026
10
Parents
61
1–5 of 61
153
4
h-index
2
h-index
2
h-index
2
h-index
Walter and Eliza Hall Institute of Medical Research, Australia
2 publications · 1K citations
2
h-index
1–5 of 153
77
Los Alamos National Laboratory
Los Alamos, United States
5 h-index
5 publications
1K citations

Xidian University
Xi'an, China
2 h-index
8 publications
227 citations

Donghua University
Shanghai, China
2 h-index
7 publications
110 citations

University of Toyama
Toyama, Japan
2 h-index
5 publications
82 citations
Institute of Mathematics
Warsaw, Poland
2 h-index
4 publications
100 citations
Heidelberg University
Heidelberg, Germany
2 h-index
6 publications
390 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
5 publications
224 citations
University of Colorado Anschutz Medical Campus
Aurora, United States
2 h-index
2 publications
188 citations
1–8 of 77
4 publications · 959 citations
4
h-index
2 publications · 51 citations
2
h-index
Repository · 2 publications · 58 citations
2
h-index
2 publications · 48 citations
2
h-index
2 publications · 79 citations
2
h-index
1–5