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The University of Southampton
Institute for Life Sciences

Seminar: Statistics for Biological Networks Event

21 November 2017
Building 54, Room 5025

For more information regarding this event, please email Ben MacArthur at .

Event details

Learning biological networks from data is not as straightforward as it may seem. The whole concept of network inference in genomics has multiple meanings and interpretations. It can refer to “causal” or “topological” considerations, i.e., learning about functional relationships in the genomic system or to considerations about the structure of the overall genomic network. Moreover, the genomic network does not really exist and can simultaneously refer to gene regulatory networks, cell signalling networks, metabolic networks etc. In this talk I aim to motivate a hierarchy of network inference strategies, starting at the single cell level and finishing at global structural network inference. It will involve stochastic and ordinary differential equation models, graphical modelling and random graph modelling.

Speaker information

Professor Ernst Wit ,University of Groningen,Biography: Ernst Wit - Professor of Statistics and Probability Professor Ernst Wit is the Head of the Statistics Group at the Centre for Mathematics and Computer Science at the University of Groningen in the Netherlands. He received his PhD from the University of Chicago in 2000. Since then he has specialized in developing statistical methods from microarray studies.

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