title: Inferring gene regulatory networks from temporal expression profiles under time-delay and noise.
abstract: Ordinary differential equations (ODE) have been widely used for modeling and analysis of dynamic gene networks in systems biology. In this paper, we propose an optimization method that can infer a gene regulatory network from time-series gene expression data. Specifically, the following four cases are considered: (1) reconstruction of a gene network from synthetic gene expression data with noise, (2) reconstruction of a gene network from synthetic gene expression data with time-delay, (3) reconstruction of a gene network from synthetic gene expression data with noise and time-delay, and (4) reconstruction of a gene network from experimental time-series data in budding yeast cell cycle.
authors.affiliation: Bio-MAX Institute, Seoul National University, Gwanak-gu, Seoul 151-818, Republic of Korea.
authors.forename: Shinuk
authors.initials: S
authors.lastname: Kim
authors.forename: Junil
authors.initials: J
authors.lastname: Kim
authors.forename: Kwang-Hyun
authors.initials: KH
authors.lastname: Cho
mesh_terms: D020869:Gene Expression Profiling; D008962:Models, Theoretical