Connectionists: NIPS 2012 workshop on Machine Learning in Computational Biology

[Jean-Philippe Vert]

Call for contributions

   Workshop on Machine Learning in Computational Biology

                     http://www.mlcb.org


     A workshop at the Twenty-Sixth Annual Conference on
      Neural Information Processing Systems (NIPS 2012)
        Lake Tahoe, Nevada, USA, December 7 or 8, 2012.


Important dates:
Oct 21, 2012 : Deadline for submission of extended abstracts
Nov 5, 2012: Acceptance notification
Dec 7 or 8, 2012: Workshop date

WORKSHOP DESCRIPTION

The field of computational biology has seen dramatic growth over
the past few years, in terms of newly available data, new
scientific questions and new challenges for learning and
inference.  In particular, biological data is often relationally
structured and highly diverse, and thus requires combining multiple
weak evidence from heterogeneous sources. These sources include
sequenced genomes of a variety of organisms, gene expression data
from multiple technologies, protein sequence and 3D structural
data, protein interaction data, gene ontology and pathway
databases, genetic variation data (such as SNPs), high-content
phenotypic screening data, and an enormous
amount of text data in the biological and medical literature. New
types of scientific and clinical problems require novel
supervised and unsupervised learning approaches that can use these
growing resources. Furthermore, next generation sequencing
technologies are yielding terabyte scale data sets that require
novel algorithmic solutions.

The workshop will host presentations of emerging problems and
machine learning techniques in computational biology.  We encourage
contributions describing either progress on new bioinformatics
problems or work on established problems using methods that are
substantially different from standard approaches. Kernel methods,
graphical models, semi-supervised approaches, feature selection
and other techniques applied to relevant bioinformatics problems
would all be appropriate for the workshop.

SUBMISSION INSTRUCTIONS

Researchers interested in contributing should upload an extended
abstract of 4 pages in PDF format to the MLCB submission web site

http://www.easychair.org/conferences/?conf=mlcb2012

by Oct 21,  2012, 11:59pm (Samoa time).

No special style is required. Authors may use the NIPS style file, but
are also free to use other styles as long as they use standard font
size (11 pt) and margins (1 in).

*Submissions should be suitably anonymized and meet the
requirements for double-blind reviewing.*

All submissions will be anonymously peer reviewed and will be
evaluated on the basis of their technical content.  A strong
submission to the workshop typically presents a new learning method
that yields new biological insights, or applies an existing learning
method to a new biological problem.  However, submissions that improve
upon existing methods for solving previously studied problems will
also be considered. Examples of research presented in previous years
can be found online at http://www.mlcb.org/nipscompbio/previous/.

The workshop allows submissions of papers that are under review or
have been recently published in a conference or a journal. This is
done to encourage presentation of mature research projects that are
interesting to the community. The authors should clearly state any
overlapping published work at time of submission.

PROGRAM COMMITTEE

Karsten Borgwardt, (Max Planck Institute)
Florence d'Alche-Buc (Université d'Evry-Val d'Essonne, Genopole)
Alexander Hartemink (Duke University)
Laurent Jacob (UC Berkeley)
Quaid Morris (University of Toronto)
William Noble (University of Washington)
Yanjun Qi (NEC Labs America)
Gunnar Rätsch (Memorial Sloan-Kettering Cancer Center)
Alexander Schliep (Rutgers University)
Oliver Stegle (Max Planck Institute)
Koji Tsuda (National Institute of Advanced Industrial Science and  
Technology, Japan)

ORGANIZERS

Anna Goldenberg (University of Toronto)
Christina Leslie (Memorial Sloan-Kettering Cancer Center)
Jean-Philippe Vert (Mines ParisTech, Institut Curie)



-- 
Jean-Philippe Vert
Cancer computational genomics and bioinformatics
Mines ParisTech - Institut Curie - INSERM U900
http://cbio.ensmp.fr/~jvert