Stochasticity and determinism in models of hematopoiesis.

Abstract:

:This chapter represents a novel view of modeling in hematopoiesis, synthesizing both deterministic and stochastic approaches. Whereas the stochastic models work in situations where chance dominates, for example when the number of cells is small, or under random mutations, the deterministic models are more important for large-scale, normal hematopoiesis. New types of models are on the horizon. These models attempt to account for distributed environments such as hematopoietic niches and their impact on dynamics. Mixed effects of such structures and chance events are largely unknown and constitute both a challenge and promise for modeling. Our discussion is presented under the separate headings of deterministic and stochastic modeling; however, the connections between both are frequently mentioned. Four case studies are included to elucidate important examples. We also include a primer of deterministic and stochastic dynamics for the reader's use.

journal_name

Adv Exp Med Biol

authors

Kimmel M

doi

10.1007/978-1-4939-2095-2_7

subject

Has Abstract

pub_date

2014-01-01 00:00:00

pages

119-52

eissn

0065-2598

issn

2214-8019

journal_volume

844

pub_type

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