Analysis for biological network properties of Alzheimer's disease associated gene set by enrichment and topological examinations

Abstract

Deciphering the mechanisms of all advanced interactions related to numerous signal pathways could be a unique step within the study of network-based information. Heuristic approaches are conventionally used across the globe to derive a decisive perspective of the network-based information by distinctive connected biological networks. We applied systems biology approach which has enrichment analysis of Alzheimer's disease (AD) gene set and topological enrichment analyses. Exploration of pathway ranking and multivariate analysis on the basis of XD-Score and Fisher q-value is additionally elucidated. Topology-based enrichment studies gave insights on necessary parameters such as shortest path length, node betweenness, degree, clustering coefficient etc. with AD. Mostly applied statistical scores were high (5.062) at a major threshold (0.74). A linear fit in regression plot and enrichment in associated gene pathways were ascertained. It is concluded that the proposed enrichment study could help in the disease regulatory processes after careful consideration at experimental examinations.