Inference of Vohradsky's models of genetic networks by solving two-dimensional function optimization problems.

ABSTRACT: The inference of a genetic network is a problem in which mutual interactions among genes are inferred from time-series of gene expression levels. While a number of models have been proposed to describe genetic networks, this study focuses on a mathematical model proposed by Vohradský. Because of its advantageous features, several researchers have proposed the inference methods based on Vohradský's model. When trying to analyze large-scale networks consisting of dozens of genes, however, these methods must solve high-dimensional non-linear function optimization problems. In order to resolve the difficulty of estimating the parameters of the Vohradský's model, this study proposes a new method that defines the problem as several two-dimensional function optimization problems. Through numerica

SUBMITTER: Kimura S 

PROVIDER: S-EPMC3875442 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature