[BBC] ECML/PKDD workshop on Statistical and Relational learning in Bioinformatics 1st CFP
Jan Ramon
Jan.Ramon at cs.kuleuven.be
Fri May 23 18:13:08 CEST 2008
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
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