TY - JOUR
T1 - Agent-based modeling
T2 - Case study in cleavage furrow models
AU - Mogilner, Alex
AU - Manhart, Angelika
N1 - Publisher Copyright:
© 2016 Mogilner and Manhart.
PY - 2016/11/7
Y1 - 2016/11/7
N2 - The number of studies in cell biology in which quantitative models accompany experiments has been growing steadily. Roughly, mathematical and computational techniques of these models can be classified as "differential equation based" (DE) or "agent based" (AB). Recently AB models have started to outnumber DE models, but understanding of AB philosophy and methodology is much less widespread than familiarity with DE techniques. Here we use the history of modeling a fundamental biological problem-positioning of the cleavage furrow in dividing cells-to explain how and why DE and AB models are used. We discuss differences, advantages, and shortcomings of these two approaches.
AB - The number of studies in cell biology in which quantitative models accompany experiments has been growing steadily. Roughly, mathematical and computational techniques of these models can be classified as "differential equation based" (DE) or "agent based" (AB). Recently AB models have started to outnumber DE models, but understanding of AB philosophy and methodology is much less widespread than familiarity with DE techniques. Here we use the history of modeling a fundamental biological problem-positioning of the cleavage furrow in dividing cells-to explain how and why DE and AB models are used. We discuss differences, advantages, and shortcomings of these two approaches.
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U2 - 10.1091/mbc.E16-01-0013
DO - 10.1091/mbc.E16-01-0013
M3 - Review article
C2 - 27811328
AN - SCOPUS:84994645754
SN - 1059-1524
VL - 27
SP - 3379
EP - 3384
JO - Molecular biology of the cell
JF - Molecular biology of the cell
IS - 22
ER -