Network reconstruction using nonparametric additive ODE models.

ABSTRACT: Network representations of biological systems are widespread and reconstructing unknown networks from data is a focal problem for computational biologists. For example, the series of biochemical reactions in a metabolic pathway can be represented as a network, with nodes corresponding to metabolites and edges linking reactants to products. In a different context, regulatory relationships among genes are commonly represented as directed networks with edges pointing from influential genes to their targets. Reconstructing such networks from data is a challenging problem receiving much attention in the literature. There is a particular need for approaches tailored to time-series data and not reliant on direct intervention experiments, as the former are often more readily available. In this pap

SUBMITTER: Henderson J 

PROVIDER: S-EPMC3986056 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature