IBISC  GENOPOLE     

Machine Learning for Biology

Goal : Develop and study new algorithms of machine learning to solve problems in computational biology and systems biology since september 2005.

Object of application : complex biological systems and inference of regulatory networks, Web.

Tools

  • Kernel-based methods for structured data
  • Clustering and Biclustering (Self-organizing maps, spectral clustering, spectral biclustering, ...)
  • Case based reasoning
  • Adaptive resonance theory

New Job Offer
 
a two-year
postdoc position
available in 2010
Network reverse-modeling
More details in Job Offers page


 

Machine Learning in Systems Biology,2009

This international workshop will take place at Ljubljana, Slovenia on September 5-6, 2009.
All details here


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