Skip to main navigationSkip to main content
The University of Southampton
Interdisciplinary Research Excellence

Mining Real-World Networks: from Biology to Economics Event

CS4 Seminar
Time:
16:00
Date:
10 December 2015
Venue:
Building 2, Room 1085 Highfield Campus University of Southampton University Road Southampton SO17 1BJ

For more information regarding this event, please email James Dyke at J.Dyke@soton.ac.uk .

Event details

On Thursday the 10th of December the CS4 seminar series returns when Nataša Pržulj , from Imperial College, will give the talk "Mining Real-World Networks: from Biology to Economics". Nataša is a Reader in Computational Network Biology; however, the methods employed generalise well. As such I expect the presentation to be of interest to any researcher seeking to interpret network data.

 

Abstract:

We are faced with a flood of molecular and clinical data. Various biomolecules interact in a cell to perform biological function, forming large, complex systems. The challenge is how to mine these molecular systems to answer fundamental questions, including gaining new insight into diseases and improving therapeutics. Just as computational approaches for analyzing genetic sequence data have revolutionized biological understanding, the expectation is that analyses of networked “omics” data will have similar ground-breaking impacts. However, dealing with these data is nontrivial, since many methods for analyzing large networks fall into the category of computationally intractable problems. We develop methods for extracting new biological knowledge from the wiring patterns of large molecular data, linking molecular network wiring with biological function and translating the information hidden in the wiring patterns into everyday language. We apply our methods to other domains, including tracking the dynamics of the world trade network and finding new insights into the origins of wealth and economic crises.

 

 

Speaker information

Nataša Pržulj ,Imperial College,Reader in Computational Network Biology

Privacy Settings