Analysis and practical guideline of constraint-based boolean method in genetic network inference.

ABSTRACT: Boolean-based method, despite of its simplicity, would be a more attractive approach for inferring a network from high-throughput expression data if its effectiveness has not been limited by high false positive prediction. In this study, we explored factors that could simply be adjusted to improve the accuracy of inferring networks. Our work focused on the analysis of the effects of discretisation methods, biological constraints, and stringency of boolean function assignment on the performance of boolean network, including accuracy, precision, specificity and sensitivity, using three sets of microarray time-series data. The study showed that biological constraints have pivotal influence on the network performance over the other factors. It can reduce the variation in network performance re

SUBMITTER: Saithong T 

PROVIDER: S-EPMC3260258 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature