Algebraic statistical model for biochemical network dynamics inference
نویسندگان
چکیده
منابع مشابه
Algebraic Statistical Model for Biochemical Network Inference
We describe a statistical method for predicting most likely reactions in a biochemical reaction network from the longitudinal data on species concentrations. Such data is relatively easily available in biochemical laboratories, for instance, via the popular RTPCR technology. Under the assumed kinetics of the law of mass action, we also propose the data-based procedures for (i) estimating the pr...
متن کاملStatistical Model for Biochemical Network Inference
We describe a statistical method for predicting most likely reactions in a biochemical reaction network from the longitudinal data on species concentrations. Such data is relatively easily available in biochemical laboratories, for instance, via the popular RT-PCR technology. Under the assumed kinetics of the law of mass action, we also propose the data-based algorithms for estimating the predi...
متن کاملstatistical inference via empirical bayes approach for stationary and dynamic contingency tables
چکیده ندارد.
15 صفحه اولAlgebraic methods for biochemical reaction network theory
Algebraic methods for biochemical reaction network theory
متن کاملCausal network inference using biochemical kinetics
MOTIVATION Networks are widely used as structural summaries of biochemical systems. Statistical estimation of networks is usually based on linear or discrete models. However, the dynamics of biochemical systems are generally non-linear, suggesting that suitable non-linear formulations may offer gains with respect to causal network inference and aid in associated prediction problems. RESULTS W...
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ژورنال
عنوان ژورنال: Journal of Coupled Systems and Multiscale Dynamics
سال: 2013
ISSN: 2330-152X
DOI: 10.1166/jcsmd.2013.1032