Elucidating biological networks appears nowadays as one of the most important challenge in systems biology. Due to the availability of various sources of data, machine learning has... Watch Video
**Motivation:** Gene regulatory network inference remains a challenging problem in systems biology despite numerous approaches. When substantial knowledge on a gene regulatory network... Watch Video
After a brief introduction to the use of machine learning in computational biology, we focus on the problem of biological networks inference. We define the problem as a problem of... Watch Video
In this paper, we generalize tree-based methods to the prediction in structured output space. The extension is based on a kernelization of the algorithm that allows one to grow trees... Watch Video
Prediction of a physical interaction between two proteins has been addressed in the context of supervised learning, unsupervised learning and more recently, semi-supervised learning... Watch Video
Identification of biological networks such as signalling pathways, gene regulatory networks, protein-protein interaction networks and metabolic networks is considered as a key... Watch Video
;Basics of kernel definitions and theory are first given.\\Then 3 algorithms are described with an explicit reference to the representer theorem: : Support vector Mahcines, : Support... Watch Video
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