Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms
Pietro Hiram Guzzi, Swarup Roy | 2020 | ISBN: 0128193506 | English | 210 pages | PDF | 7 MB

Complex biological systems and their inter-relationships are represented as graphs or networks. The use of graphs to model biological aspects in computational biology, in bioinformatics and biomedicine is currently growing. Graphs enable researchers to easily model relations among objects. Currently in bioinformatics and systems biology there is a growing interest in the analysis of associations among biological molecules at a network level. A main topic of research in this area is represented by the inference and analysis of biological networks from experimental data. Often researchers aim to analyze differences of evolutions among different networks, i.e., networks representing different states of the same reality or networks coming from different species.