Assessment of network perturbation amplitudes by applying high-throughput data to causal biological networks.

ABSTRACT:

Background

High-throughput measurement technologies produce data sets that have the potential to elucidate the biological impact of disease, drug treatment, and environmental agents on humans. The scientific community faces an ongoing challenge in the analysis of these rich data sources to more accurately characterize biological processes that have been perturbed at the mechanistic level. Here, a new approach is built on previous methodologies in which high-throughput data was interpreted using prior biological knowledge of cause and effect relationships. These relationships are structured into network models that describe specific biological processes, such as inflammatory signaling or cell cycle progression. This enables quantitative assessment of network perturbation in response

SUBMITTER: Martin F 

PROVIDER: S-EPMC3433335 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature