Machine Learning and Systems Biosciences

The talk will discuss two topics that have recently attracted a lot of attention within machine learning and data mining, namely structured-output prediction and constraint-based data mining. It will present some recently developed approaches addressing these topics. It will also discuss applications of these approaches in the area of system biosciences, namely systems biology and ecology. Example applications from systems biology include gene function prediction, predicting the response of genes to stress and analyzing image data from genome and compound screens. Ecological applications include predicting the state of ecosystems, such as forests, from satellite images, predicting the composition of biological communities from environmental data and taxonomical classification from images.