Machine Learning for Personalized Medicine

Poster presentations:

Computational Analysis of Translational control of the T-cell leukemia oncoproteome
Yi Zhong, Philipp Drewe, Kamini Singh, Andrew L. Wolfe, Vipin T. Sreedharan, Andre Kahles, Hans-Guido Wendel, Gunnar Rätsch

Comparison of permutations strategies to assess gene-set significance in gene-set-enrichment analysis
Myriam Brossard, Amaury Vaysse, Eve Corda, Hamida Mohamdi,  Diana Zelenika, Brigitte Bressac-de Paillerets, Marie-Françoise Avril, Mark Lathrop, Florence Demenais

Classifying sets of feature vectors
Veronika Cheplygina, David M.J. Tax, Marco Loog 

Analyzing structural brain connectivity via graphs
Niklas Kasenburg, Karsten Borgwardt, Mads Nielsen, Matthew Liptrot, Aasa Feragen 

easyGWAS: An integrated plattform for performing genome-wide-association studies
Dominik Grimm, Bastian Greshake, Stefan Kleeberger, Christoph Lippert, Oliver Stegle, Bernhard Schölkopf, Detlef Weigel, Karsten Borgwardt 

It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
Barbara Rakitsch, Christoph Lippert, Karsten Borgwardt*, Oliver Stegle*

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