Christoph Lippert

Summary

Affiliation: Max Planck Institute for Biological Cybernetics
Country: Germany

Publications

  1. ncbi Gene function prediction from synthetic lethality networks via ranking on demand
    Christoph Lippert
    Machine Learning and Computational Biology Research Group, Max Planck Institutes, Tubingen, Germany
    Bioinformatics 26:912-8. 2010
  2. ncbi FaST linear mixed models for genome-wide association studies
    Christoph Lippert
    Microsoft Research, Los Angeles, California, USA
    Nat Methods 8:833-5. 2011

Detail Information

Publications2

  1. ncbi Gene function prediction from synthetic lethality networks via ranking on demand
    Christoph Lippert
    Machine Learning and Computational Biology Research Group, Max Planck Institutes, Tubingen, Germany
    Bioinformatics 26:912-8. 2010
    ..Our experiments show that our method leads to improved gene function prediction compared with state-of-the-art competitors and that combining genetic and congruence networks leads to a further improvement in prediction accuracy...
  2. ncbi FaST linear mixed models for genome-wide association studies
    Christoph Lippert
    Microsoft Research, Los Angeles, California, USA
    Nat Methods 8:833-5. 2011
    ..Our algorithm can analyze data for 120,000 individuals in just a few hours, whereas current algorithms fail on data for even 20,000 individuals (http://mscompbio.codeplex.com/)...