Introduction à l'immunologie: aspects fondamentaux Introduction to Network Analysis in Systems Biology Avi Ma’ayan * Avi Ma’ayan, Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY 10029, USA. The focus is on in-silico network evolution models. In the 'Topological and Network Evolution Models' module, we provide several lectures about a historical perspective of network analysis in systems biology. Genome-scale network reconstructions are a common denominator for computational analysis in systems biology as well as an integrative platform for experimental data analysis [1, 2]. Resource : Course The course should be useful for researchers who encounter large datasets in their own research. Dino 101: Dinosaur Paleobiology Cellular processes depend on the … The ultimate aim of the course is to enable participants to utilize the methods presented in this course for analyzing their own data for their own projects. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. You already have an account The course should be useful for researchers who encounter large datasets in their own research. There are several applications of reconstructions including: 1) contextualization of high-throughput data, 2) directing hypothesis-driven discovery, and 3) network property discovery [ 1 ]. In the 'Topological and Network Evolution Models' module, we provide several lectures about a historical perspective of network analysis in systems biology. The focus is on in-silico network evolution models. For those participants that do not work in the field, the course introduces the current research challenges faced in the field of computational systems biology.Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web. Avi Ma'ayan PhD is a Professor at the Icahn School of Medicine at Mount Sinai in the Department of Pharmacological Sciences and Director of the Mount Sinai Center for informatics. These are simple computational models that, based of few rules, can create networks that have a similar topology to the molecular networks observed in biological systems.
The focus is on in-silico network evolution models. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The Icahn School of Medicine at Mount Sinai, formerly the Mount Sinai School of Medicine, is an American medical school in the borough of Manhattan in New York City.