Name
Title | ||
|---|---|---|
An Open Platform toward Large-Scale Multilevel Modeling and Simulation of Physiological Systems |
Abstract | ||
|---|---|---|
An open platform for enhancing the integrative life science called Physiome and Systems Biology has been developing. The platform is currently open in the public domain at www.physiome.jp. The platform includes the following core technologies, 1) An integrated modeling environment on which users can build mathematical models of biological and physiological functions at multiple levels and multiple scales with hierarchical relationships among them. On the environment, users can also perform numerical simulations of the models, with parallel computing. 2) A language for describing wide variety of models of biological and physiological functions. It is capable of describing mathematical implementations of a model explicitly, hierarchical structured embedded in a model, relationships among a number of different models, and morphological information characterizing geometry of each model. 3) Databases for archiving and sharing mathematical models, morphometric data, and time-series data, for which data acquisitions are expected to be made by public efforts through biological, physiological, and computational experiments. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/SAINT.2011.47 | Applications and the Internet |
Keywords | Field | DocType |
physiological function,different model,time-series data,integrated modeling environment,morphometric data,hierarchical relationship,mathematical model,data acquisition,physiological systems,open platform,large-scale multilevel modeling,mathematical implementation,biological function,multilevel model,physiology,system biology,numerical analysis,systems biology,physiome,computational modeling,mathematical models,computational geometry,multilevel modeling,parallel computing,parallel processing,data models | Open platform,Multilevel model,Computer science,Data acquisition,Computational geometry,Physiome,Systems biology,Implementation,Mathematical model,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-4423-6 | 2 | 0.44 |
References | Authors | |
1 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshiyuki Asai | 1 | 30 | 7.56 |
| Hideki Oka | 2 | 2 | 0.77 |
| Takeshi Abe | 3 | 3 | 1.80 |
| Masao Okita | 4 | 8 | 5.79 |
| Kenichi Hagihara | 5 | 528 | 56.94 |
| Taishin Nomura | 6 | 99 | 22.81 |
| Hiroaki Kitano | 7 | 3515 | 539.37 |