Modelling cellular processes with Python']Python and Scipy

被引：11
|
作者：
Olivier, BG [1 ]
Rohwer, JM [1 ]
Hofmeyr, JHS [1 ]
机构：
[1] Univ Stellenbosch, Dept Biochem, ZA-7602 Matieland, South Africa
来源：
MOLECULAR BIOLOGY REPORTS | 2002年 / 29卷 / 1-2期
关键词：
Computer Simulation; Metabolism; !text type='Python']Python[!/text] Computer Language;
D O I：
10.1023/A:1020346417223
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
This paper shows how Python and Scipy can be used to simulate the time-dependent and steady-state behaviour of reaction networks, and introduces Pysces, a Python modelling toolkit.
引用
收藏
页码：249 / 254
页数：6
相关论文
共 50 条
  • [1] Modelling Cellular Processes With Python and Scipy
    B.G. Olivier
    J.M. Rohwer
    J.-H.S. Hofmeyr
    Molecular Biology Reports, 2002, 29 : 249 - 254
  • [2] PyVaporation: A Python']Python Package for Studying and Modelling Pervaporation Processes
    Sapegin, Denis Andzheevich
    Chekmachev, Aleksei Viktorovich
    MEMBRANES, 2022, 12 (08)
  • [3] Numerical Python']Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
    Jekel, Charles
    SIAM REVIEW, 2020, 62 (02) : 515 - 517
  • [4] ScrumPy: metabolic modelling with Python']Python
    Poolman, M. G.
    IEE PROCEEDINGS SYSTEMS BIOLOGY, 2006, 153 (05): : 375 - 378
  • [5] SciPy 1.0: fundamental algorithms for scientific computing in Python']Python (vol 33, pg 219, 2020)
    Virtanen, Pauli
    Gommers, Ralf
    Oliphant, Travis E.
    Haberland, Matt
    Reddy, Tyler
    Cournapeau, David
    Burovski, Evgeni
    Peterson, Pearu
    Weckesser, Warren
    Bright, Jonathan
    van der Walt, Stefan J.
    Brett, Matthew
    Wilson, Joshua
    Millman, K. Jarrod
    Mayorov, Nikolay
    Nelson, Andrew R. J.
    Jones, Eric
    Kern, Robert
    Larson, Eric
    Carey, C. J.
    Polat, Ilhan
    Feng, Yu
    Moore, Eric W.
    VanderPlas, Jake
    Laxalde, Denis
    Perktold, Josef
    Cimrman, Robert
    Henriksen, Ian
    Quintero, E. A.
    Harris, Charles R.
    Archibald, Anne M.
    Ribeiro, Antonio H.
    Pedregosa, Fabian
    van Mulbregt, Paul
    NATURE METHODS, 2020, 17 (03) : 352 - 352
  • [6] Modelling landscape dynamics with Python']Python
    Karssenberg, D.
    de Jong, K.
    van der Kwast, J.
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2007, 21 (05) : 483 - 495
  • [7] PyMC: Bayesian Stochastic Modelling in Python']Python
    Patil, Anand
    Huard, David
    Fonnesbeck, Christopher J.
    JOURNAL OF STATISTICAL SOFTWARE, 2010, 35 (04): : 1 - 81
  • [8] Modelling the Turtle Python']Python library in CSP
    MacConville, Dara
    Farrell, Marie
    Luckcuck, Matt
    Monahan, Rosemary
    ELECTRONIC PROCEEDINGS IN THEORETICAL COMPUTER SCIENCE, 2022, (354): : 15 - 22
  • [9] SciKit-GStat 1.0: a SciPy-flavored geostatistical variogram estimation toolbox written in Python']Python
    Maelicke, Mirko
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2022, 15 (06) : 2505 - 2532
  • [10] MeDIL: A Python']Python Package for Causal Modelling
    Markham, Alex
    Chivukula, Aditya
    Grosse-Wentrup, Moritz
    INTERNATIONAL CONFERENCE ON PROBABILISTIC GRAPHICAL MODELS, VOL 138, 2020, 138 : 621 - 624
12345