|
Time-varying Network Modelling by Particle Filtering: case of Gene Interaction Networks
Who: Ercan E Kuruoglu, PhD Cantab
Editor in Chief - Digital Signal Processing Senior Research Scientist
Primo Ricercatore, ISTI-CNR, Pisa, Italy
When: 03/04/2016, Thursday, 10:00 am
Where: SEIEE Building 5-214
Shanghai Jiao Tong University
|
|
Abstract:
We have too long stayed with our input-output system models. The nature of modern data is different. They involve two ways interacting variables in large quantities. MIMO models provide only a partial solution and network modelling seems to be the way forward for dealing with data now vastly available in various applications ranging from social networks to finance and from genomics to mobile communications. Despite the explosion of research on big data, the time varying dimension of the interactions are widely ignored. In this talk, we address the problem of time varying network estimation with gene interaction networks as a case study. We model the gene interactions over time with multivariate linear regressions where the parameters of the regressive process are changing over time. We propose Particle Filtering for dynamic network inference and its potentials in time varying gene expression tracking are demonstrated. The proposed model is able to track the interactions not only from the one step past but also interactions with a delay of n-time steps which is a realistic scenario for gene interactions in general. The method is easily extendable to model nonlinear interactions.
Biography:
Ercan E. Kuruoglu was born in Ankara, Turkey in 1969. He obtained his MPhil and PhD degrees in Information Engineering at the Cambridge University in 1995 and 1998 respectively. Upon graduation from Cambridge, he joined the Xerox Research Center in Cambridge as a permanent member of the Collaborative Multimedia Systems Group. In 2002, he joined ISTI‐CNR, Pisa as a permanent member. Since 2006, he is an Associate Professor and Senior Researcher. He is a recipient of the Alexander von Humboldt Foundation Fellowship (2012‐2014) at Max‐Planck Institute for Molecular Biology. He was an Associate Editor for IEEE Transactions on Signal Processing in 2002‐2006 and for IEEE Transactions on Image Processing in 2005‐2009. He is currently the Editor in Chief of Digital Signal Processing. His research interests are in statistical signal processing and information and coding theory with applications in image processing, computational biology, telecommunications, astronomy and geophysics.
|