Bayesian experts in exploring reaction kinetics of transcription circuits.

ABSTRACT:

Motivation

Biochemical reactions in cells are made of several types of biological circuits. In current systems biology, making differential equation (DE) models simulatable in silico has been an appealing, general approach to uncover a complex world of biochemical reaction dynamics. Despite of a need for simulation-aided studies, our research field has yet provided no clear answers: how to specify kinetic values in models that are difficult to measure from experimental/theoretical analyses on biochemical kinetics.

Results

We present a novel non-parametric Bayesian approach to this problem. The key idea lies in the development of a Dirichlet process (DP) prior distribution, called Bayesian experts, which reflects substantive knowledge on reaction mechanisms inherent in given

SUBMITTER: Yoshida R 

PROVIDER: S-EPMC2935439 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature