Graduate School and Research Center in Digital Sciences

Seminar: RS Talk Machine Learning and network theory in Bioinformatics

Roberto Visintainer

Digital Security

Date: December 1, 2015

Location: Eurecom - salle 103

Title: Machine Learning and network theory in Bioinformatics. Abstract: It is nowadays established how the arising of specific medical conditions is not a consequence of the "presence/absence" of single genes, but involves complex time varying networks of genes. In these networks, genes interact in order to accomplish all the tasks necessary for the life of single cells. As a consequence, we have recently witnessed a shift from a biology based on genes to a biology in which the functional gene networks or pathways are the main actors and machine learning is the key tool to discover and interpret them. I will give an overview of machine learning approaches in modern biology and the challenges of network inference and comparison, and conclude the talk with some examples of applications.

RS Talk Machine Learning and network theory in Bioinformatics

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