On Monday February the 17th, I will give a talk at CBI on omics data integration with kernels.
Title: Kernel and relational methods for data integration in systems biology
Abstract: The development of high throughput sequencing techniques currently generates an increasing volume of data at moderate costs. These data are often of very high dimension, heterogeneous and simultaneously acquired at different levels of a living organism. A challenging question is how to integrate all these data , e.g., how to combine these different views of the living functioning and how to combine them with external information to better understand the underlying biological mechanisms at stake or to better predict a quantity of interest (a phenotype for instance). Among the methods developed to address this issue, network and kernel methods have several appealing properties that make them a popular approach. In this talk, I will present the general setting of kernel methods and how they can and have been used in computational biology. I will more specifically focus on exploratory methods (or unsupervised methods) for data integration and will illustrate my talk with an example taken from TARA Oceans datasets. Parts of this talk are related to works co-authors with Madalina Olteanu, Fabrice Rossi and Jérôme Mariette.