2nd Call for contributions
Workshop on Machine Learning in Computational Biology
http://www.mlcb.org
A workshop at the Twenty-Seventh Annual Conference on
Neural Information Processing Systems (NIPS 2014)
Montreal, QC, Canada, December 13, 2014.
Important dates:
Oct 22, 2014 : Deadline for submission of extended abstracts
Nov 4, 2014: Acceptance notification
Dec 13, 2014: 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
types of 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
https://easychair.org/conferences/?conf=mlcb2014
by Oct 22, 2014, 11:59pm (time zone of your choice).
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.
INVITED SPEAKERS
Mark Gerstein (Yale University)
Anshul Kundaje (Stanford University)
ORGANIZERS
Anna Goldenberg (University of Toronto)
Sara Mostafavi (UBC)
Oliver Stegle (EMBL-EBI)
Su-In Lee (University of Washington)
Martin Renqiang Min (NEC Labs America)
Sponsors
Microsoft Research
NEC Labs America
--
Best regards,
Martin Renqiang Min, Ph.D.
Researcher
Department of Machine Learning
NEC Laboratories America
http://www.cs.toronto.edu/~cuty
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