A framework of integrating gene relations from heterogeneous data sources: an experiment on Arabidopsis thaliana

J. Li, X. Li, H. Su, H. Chen, D. W. Galbraith
2006 Bioinformatics  
One of the most important goals of biological investigation is to uncover gene functional relations. In this study we propose a framework for extraction and integration of gene functional relations from diverse biological data sources, including gene expression data, biological literature and genomic sequence information. We introduce a twolayered Bayesian network approach to integrate relations from multiple sources into a genome-wide functional network. An experimental study was conducted on
more » ... test-bed of Arabidopsis thaliana. Evaluation of the integrated network demonstrated that relation integration could improve the reliability of relations by combining evidence from different data sources. Domain expert judgments on the gene functional clusters in the network confirmed the validity of our approach for relation integration and network inference.
doi:10.1093/bioinformatics/btl345 pmid:16820427 fatcat:frdzodghy5foxclute3qib42yi