Protein-Protein Interaction Networks Comparison Between Paediatric Neuroblastoma Cancer and Glioblastoma Multiforme Cancer with Gene Expression Data

Human nervous system (HNS) caners are one of the leading cancer types in the world. Analysing gene clusters involved in HNS cancer is critical for predicting treatments. We have used gene expression data from Paediatric Neuroblastoma (NBL) cancers and Glioblastoma Multiforme (GBM) cancers for gene cluster development. We have used density based (MCODE and ClusterOne) algorithms and M-Clique clustering to find gene clusters in HNS cancers. Results of the GBM MOCDE algorithm and NBL MCODE algorithms were 6 and 5 PPI networks respectively. Furthermore, we obtained four PPIs to compare and contrast GBM and NBL cancer types. We have found 31 significant overlapping protein PPIs in Merged MCODE PPI via using ClusterOne algorithm. We have identified 4106 cliques from HNS cancers.