Figure 4.

Prioritized candidate genes of cardiac septal defects using both functional annotation- and PPIN- based methods. Panel A shows the sub-network of heart septal defect related genes comprising (i) genes associated with OMIM diseases that have the phenotype of cardiac septal defect (Training set of genes for cardiac septal defect) and their immediate interactants (Test set genes). The size of the nodes is proportional to the degree (number of edges). Panel B shows the intersection among the top 20 ranked cardiac septal defect candidate genes using functional annotation- and PPIN- based methods. Functional annotation-based prioritization was done using ToppGene server. For PPIN-based methods K-Step Markov, Hits with Priors, and PageRank with Priors was used. Panel C shows the top 20 ranked cardiac septal defect genes (generated using PPIN- and functional annotation- based methods) along with their connectivity to training set genes (based on protein-protein interactions).

Chen et al. BMC Bioinformatics 2009 10:73   doi:10.1186/1471-2105-10-73
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