Guest lecture: "Statistical and computational challenges for the structural study of biological networks" - Professor Etienne Birmelé, Paris Descartes University
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Date: Wednesday February 11th 2015, 12:15
Place: Lille Aud, Realfagsbygget, UiT
Title: " Statistical and computational challenges for the structural study of biological networks "
Lecturer: Professor Etienne Birmelé, Paris Descartes University
Abstract
Technology improvements allowed the biologists in the last two decades to collect a huge amount of biomolecular data, yielding to the construction of biological networks. Those networks are quite diverse but show some similarities, as the fact that they are still noisy or that a possible link may not be active in every cell. This complexity implies that, when studying the structure of such networks, the goal of the biostatistician is not to find only an optimal solution for his objective function but to enumerate and rank several interesting scenarios which will be elucidated by biologists.
Several questions in statistics and computer science raise while looking for biologically relevant substructures of biological networks. What is the complexity of enumerating the substructures of interest? How to filter/rank the results? What about the choice of a null model of networks to compare with? How to compare similar networks obtained in different cellular contexts?
The presentation will illustrate those questions through some examples of structures of interest in metabolic and regulatory networks.
Short Biography
Etienne Birmelé got his PhD in graph theory in 2003 under the direction of Pr. J.A. Bondy. He then became assistant professor in the Evry University, near Paris, in the Statistics and Genome team. He specialized in the statistic and algorithmic study of biological networks, and spent one year in Marie-France Sagot's bioinformatic team in Lyon. Since 2013, he is a full professor in biostatistics at the Paris Descartes University.
