Statistical and Relational Learning in Bioinformatics

Bioinformatics is an application domain where information is naturally represented in terms of relations between heterogenous objects. Modern experimentation and data acquisition techniques allow the study of complex interactions in biological systems. This raises interesting challenges for machine learning and data mining researchers, as the amount of data is huge, some information can not be observed, and measurements may be noisy.

The StReBio workshop aims at bringing together researchers from both the field of statistical and relational learning, and the field of bioinformatics. Our main goals are to make the two communities understand each other better, and to stimulate the development of new techniques in the field of statistical and relational learning specific for biological applications.

We invite both

  • regular papers describing contributions to the field and
  • problem statements, explaining relevant but not yet adequately solved problems, in terms which are clear for the computer scientist.

Important Dates:

  • Paper deadline: July 1st (extended)
  • Notifications of Acceptance: July 16
  • Final versions: August 7th

Related events

This is an ECML/PKDD workshop. See the conference website for information on the main conference and other workshops.

Before ECML/PKDD there is also a more general workshop on
machine learning in systems biology
in Brussels, which is only half an hour from Antwerp.