Candidate Gene Prioritization for Non-Communicable Diseases Based on Functional Information
Title deal with network
Title weight edge
Get a one-to-many matrix of gene and GO term
Title get neighbor of a node
Title Get the GO terms for each pair of nodes in the network
Title weight node
Title get the disease risk transition probability matrix
Title get the final genetic disease risk scores
Title get the vector of initial disease risk scores for all genes
Get a one-to-many matrix of GO term and gene
Title
In gene sequencing methods, the topological features of protein-protein interaction (PPI) networks are often used, such as ToppNet <https://toppgene.cchmc.org>. In this study, a candidate gene prioritization method was proposed for non-communicable diseases considering disease risks transferred between genes in weighted disease PPI networks with weights for nodes and edges based on functional information.