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A framework of integrating gene relations from heterogeneous data sources: an experiment on Arabidopsis thaliana
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
doi:10.1093/bioinformatics/btl345
pmid:16820427
fatcat:frdzodghy5foxclute3qib42yi