Prospects for Declarative Mathematical Modeling of Complex Biological Systems.

ABSTRACT: Declarative modeling uses symbolic expressions to represent models. With such expressions, one can formalize high-level mathematical computations on models that would be difficult or impossible to perform directly on a lower-level simulation program, in a general-purpose programming language. Examples of such computations on models include model analysis, relatively general-purpose model reduction maps, and the initial phases of model implementation, all of which should preserve or approximate the mathematical semantics of a complex biological model. The potential advantages are particularly relevant in the case of developmental modeling, wherein complex spatial structures exhibit dynamics at molecular, cellular, and organogenic levels to relate genotype to multicellular phenotype. Multisc

SUBMITTER: Mjolsness E 

PROVIDER: S-EPMC6677696 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature