Deterministic and stochastic P systems for modelling cellular processes

被引：15
|
作者：
Gheorghe, Marian [1 ]
Manca, Vincenzo [2 ]
Romero-Campero, Francisco J. [3 ]
机构：
[1] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England
[2] Univ Verona, Dept Comp Sci, I-37134 Verona, Italy
[3] Univ Nottingham, Sch Comp Sci, Nottingham NG8 1BB, England
来源：
NATURAL COMPUTING | 2010年 / 9卷 / 02期
基金：
英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会;
关键词：
Membrane computing; P systems; Modelling; Systems biology; Synthetic biology;
D O I：
10.1007/s11047-009-9158-4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates their use through two case studies.
引用
收藏
页码：457 / 473
页数：17
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