Linking data to models: data regression

被引:161
作者
Jaqaman, Khuloud [1 ]
Danuser, Gaudenz [1 ]
机构
[1] Scripps Res Inst, Dept Cell Biol, La Jolla, CA 92037 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1038/nrm2030
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Mathematical models are an essential tool in systems biology, linking the behaviour of a system to the interactions between its components. Parameters in empirical mathematical models must be determined using experimental data, a process called regression. Because experimental data are noisy and incomplete, diagnostics that test the structural identifiability and validity of models and the significance and determinability of their parameters are needed to ensure that the proposed models are supported by the available data.
引用
收藏
页码:813 / 819
页数:7
相关论文
共 60 条
[1]  
[Anonymous], [No title captured]
[2]  
[Anonymous], 1995, Handbook of global optimization, Nonconvex Optimization and its Applications
[3]  
[Anonymous], 1988, Parameter estimation and hypothesis testing in linear models
[4]   Synthetic cell biology [J].
Arkin, AP .
CURRENT OPINION IN BIOTECHNOLOGY, 2001, 12 (06) :638-644
[5]   Ranked prediction of p53 targets using hidden variable dynamic modeling [J].
Barenco, M ;
Tomescu, D ;
Brewer, D ;
Callard, R ;
Stark, J ;
Hubank, M .
GENOME BIOLOGY, 2006, 7 (03)
[6]  
BELLMAN R, 1970, Mathematical Biosciences, V7, P329, DOI 10.1016/0025-5564(70)90132-X
[7]   Statistics of transmitter release at nerve terminals [J].
Bennett, MR ;
Kearns, JL .
PROGRESS IN NEUROBIOLOGY, 2000, 60 (06) :545-606
[8]   Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis [J].
Bentele, M ;
Lavrik, I ;
Ulrich, M ;
Stösser, S ;
Heermann, DW ;
Kalthoff, H ;
Krammer, PH ;
Eils, R .
JOURNAL OF CELL BIOLOGY, 2004, 166 (06) :839-851
[9]   Inferring genetic regulatory logic from expression data [J].
Bulashevska, S ;
Eils, R .
BIOINFORMATICS, 2005, 21 (11) :2706-2713
[10]  
Chen M. H., 2000, MONTE CARLO METHODS