Network Based Integrated Analysis of Phenotype-Genotype Data for Prioritization of Candidate Symptom Genes

Figure 2

The approach for predicting the genes with respect to symptom using PRINCE algorithm. For a query symptom S, it has varying degrees of relationship with other diseases, denoted by d1–d5 (where the thickness of lines represents degree of correlation between symptom and diseases). p1–p9 comprise the protein set of a protein-protein interaction network, where interactions are denoted by lines with different thickness (confidence). PRINCE uses an iterative propagation method to assign a score of each protein. The protein with higher score is considered to be the causal gene candidate for symptom S.