[BBC] ECML/PKDD workshop on Statistical and Relational learning in Bioinformatics 1st CFP

[Jan Ramon]

                   ECML/PKDD Workshop on Statistical and
                   Relational learning in Bioinformatics
                       Friday, September 19th, 2008
                            Antwerp, Belgium
                      http://www.ecmlpkdd2008.org/StReBio


MOTIVATION

There is an increasing interest for structured data in the machine 
learning community as shown by the growing number of dedicated Conferences 
and Workshops (MLG, SRL, ILP, MRDM). Bioinformatics is an application 
domain of increasing popularity where information is naturally represented 
in terms of relations between (possibly heterogeneous) objects.

The Workshop on Relational Learning in Bioinformatics focuses on learning 
methods for structured biological data (relational data, graphs, logic 
based descriptions, etc) in the presence of uncertainty (probabilistic 
logic models, Bayesian methods, etc). These methods are well-suited for 
this application area, since the available data is highly complex and 
tends to have a significant amount of missing information.


SCOPE

The workshop aims at bringing together researchers from both the field of 
relational learning, machine learning over structured data and biology. We 
therefore invite submissions that describe new methods, problem settings, 
applications and models, exploiting structured data in the field of 
biology. Methods include, but are not restricted to
* Statistical Relational Learning
* Relational Probabilistic Models
* Inductive Logic Programming
* Multi-relational Data Mining
* Graph Methods
The data, structures or models considered can include but are not limited 
to
* Sequences (DNA, RNA, protein)
* Pathways (chemical, metabolic, mutation, interaction pathways)
* 2D, 3D structures of proteins, RNA
* Chemical structures (e.g. QSAR, especially regarding interaction of 
compounds with proteins)
* Evolutionary relations (phylogeny, homology relations)
* Ontologies integration (gene, enzyme, protein function ontologies)
* Large networks (regulatory, co-expression, interaction, and metabolic 
networks)
* Concept graphs (including compounds, articles, authors, references)


SUBMISSIONS

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: June 16
* Notifications of Acceptance: July 16
* Final versions: August 14

More information can be found at the workshop website 
http://www.ecmlpkdd2008.org/StReBio