Manuscript Topics

This special issue will present the analysis of biological systems from the mathematical perspective of stochastic processes and statistical inference.  A variety of experimental systems have benefitted from this perspective over recent years.  The study of intracellular biochemical networks, in particular, has been enriched by having researchers working at the intersection of stochastic processes theory and more traditional applied mathematics.  In addition, the ability to collect a substantial amount of biological data, especially by obtaining time series at scales ranging from molecular to cellular to whole organism has changed our capacity to link stochastic models to observations.  While a statistical link to data is not required, manuscripts of particular interest for this issue will be those that are tightly coupled to experiments and/or applications, especially if the modeling provides unique biological insights.

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