Analyzing the Structures of Clusters in Multi-layer Biological Networks

Nowadays many biological problems are structured in the form of networks called biological networks. Formation of such large networks helps us in analyzing biological systems extensively and effectively. Although the size and structure of biological networks are very complex and it is difficult to interpret such networks without further processing. In this paper, we discuss the analysis of such systems by forming clusters and analyze the whole arrangement using different types of clusters formed in the network. A cluster is a highly connected group of nodes of the net and cluster analysis is one of the prominent features used for the analysis of the biological systems. Here, we present our study by applying some popular clustering algorithms on multi-layer biological networks to see the changes in the shape, size, and structure of the clusters when multiple interactions among biological entities are included and the behavior of objects in such networks.