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Leveraging existing biological knowledge in the identification of candidate genes for facial dysmorphology
2009
BMC Bioinformatics
In response to the frequently overwhelming output of high-throughput microarray experiments, we propose a methodology to facilitate interpretation of biological data in the context of existing knowledge. Through the probabilistic integration of explicit and implicit data sources a functional interaction network can be constructed. Each edge connecting two proteins is weighted by a confidence value capturing the strength and reliability of support for that interaction given the combined data
doi:10.1186/1471-2105-10-s2-s12
pmid:19208187
pmcid:PMC2646237
fatcat:zemzg6wvj5fcbf6hvgjrzurnge