CANTATA-prediction of missing links in Boolean networks using genetic programming.

ABSTRACT:

Motivation

Biological processes are complex systems with distinct behaviour. Despite the growing amount of available data, knowledge is sparse and often insufficient to investigate the complex regulatory behaviour of these systems. Moreover, different cellular phenotypes are possible under varying conditions. Mathematical models attempt to unravel these mechanisms by investigating the dynamics of regulatory networks. Therefore, a major challenge is to combine regulations and phenotypical information as well as the underlying mechanisms. To predict regulatory links in these models, we established an approach called CANTATA to support the integration of information into regulatory networks and retrieve potential underlying regulations. This is achieved by optimizing both static and d

SUBMITTER: Mussel C 

PROVIDER: S-EPMC9620829 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature