Top-Down Network Analysis to Drive Bottom-Up Modeling of Physiological Processes

Top-Down Network Analysis to Drive Bottom-Up Modeling of Physiological Processes

Top-down analyses in systems biology can automatically find correlations among genes and proteins in large-scale datasets. However, it is often difficult to design experiments from these results. In contrast, bottom-up approaches painstakingly craft detailed models that can be simulated computationally to suggest wet lab experiments. However, developing the models is a manual process that can t...

Bottom-up, top-down

Top-Down Analysis for Bottom-Up Development

Component-based software engineering (CBSE) is the construction of software systems from software components. Software components are independently deployable units of executable code that can be assembled into a system based on their externally visible properties, which are made available to system developers via the components interface specifications. Software components provide a means for ...

Neurobiological modeling: squeezing top down to meet bottom up

1 INTRODUCTION A cartoon description of the goals of cognitive science and neuroscience might read respectively " how the mind works " and " how the brain works ". In this caricature, there would seem to be little overlap in the vocabularies employed by each domain. The cartoon cognitive scientist could speak at length about decision-making and short-term memory in a relatively self-consistent ...

Bottom-Up Beats Top-Down

In PEPA, the calculation of the transitions enabled by a process accounts for a large part of the time for the state space exploration of the underlying Markov chain. Unlike other approaches based on recursion, we present a new technique that is iterative—it traverses the process’ binary tree from the sequential components at the leaves up to the root. Empirical results shows that this algorith...