Computational analysis of multi omics data to identify biomarker genes and their cancer associations

Abstract

Systems biology models complex biological systems that investigate the functions newlineand activities of genes, gene products, and various other biomolecules in a living newlineorganism. An endless number of in-vivo research try to unravel the complex biolog- newlineical behaviours induced by numerous biomolecules and their varying interactions. newlineSubsequently, a massive volume of omics data has been accumulated, representing newlineinformation at various levels of biological systems. This led to the evolution of bioin- newlineformatics, an interdisciplinary domain that analyse the rapidly growing repository newlineof information related to molecular biology. Recent advances in bioinformatics are newlinedirectly related to the availability of new methods for handling a large amount of newlineheterogeneous biological data. newlineNetwork science aims to represent, understand and analyse complex systems that newlineexhibit network behaviour, such as biological systems. The structure of a network newlinecan properly capture the dynamics of an underlying complex biological system. A bi- newlineological system describes physical and functional associations between biomolecules newlineand network mapping paves the way to discover new functional interdependencies. newlineAs biological activities result from multiple coordinated interactions, information newlineobtained from the analysis of any single type of association is inadequate. In addition, newlinea system-level analysis integrating genomic and proteomic data is widely accepted newlineto understand complex biological processes. These aspects prompted the usage of a newlinerobust mathematical framework termed multiplex network model which has recently newlinebeen proposed. This framework consists of a set of monoplex networks interacting newlinewith each other, and its implementation in the biological domain is still in infancy. newlineDetecting essential genes/proteins whose functions are critical for cell survival is a