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Statistical learning of biological networks: a brief overview

Statistical learning of biological networks: a brief overview

This video was recorded at Learning and Inference in Computational Systems Biology (LICSB), Glasgow 2008. Identification of biological networks such as signalling pathways, gene regulatory networks, protein-protein interaction networks and metabolic networks is considered as a key challenge in computational biology. Using machine learning framework, this problem can be addressed using different points of view, depending of course on the nature of the biological interactions to be inferred but also on the level of abstraction of the chosen modeling and the amount of prior knowledge available. Since 2000, research in statistical learning of biological networks have given rise to a rich panel of approaches whose interest overcomes the field of computational biology. Network identification has... Show More

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