title: Introduction to network analysis in systems biology.
abstract: This Teaching Resource provides lecture notes, slides, and a problem set for a set of three lectures from a course entitled "Systems Biology: Biomedical Modeling." The materials are from three separate lectures introducing applications of graph theory and network analysis in systems biology. The first lecture describes different types of intracellular networks, methods for constructing biological networks, and different types of graphs used to represent regulatory intracellular networks. The second lecture surveys milestones and key concepts in network analysis by introducing topological measures, random networks, growing network models, and topological observations from molecular biological systems abstracted to networks. The third lecture discusses methods for analyzing lists of genes and experimental data in the context of prior knowledge networks to make predictions.
authors.affiliation: Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA. avi.maayan@mssm.edu
authors.forename: Avi
authors.initials: A
authors.lastname: Ma'ayan
mesh_terms: D008954:Models, Biological; D016571:Neural Networks, Computer; D049490:Systems Biology / Q000193:education* / Q000379:methods* / Q000639:trends*