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NIPS 2011 Workshop on Machine Learning in Computational Biology
Spain - Sierra Nevada

Hosted by: NIPS
Venue: Melia Sierra Nevada & Melia Sol y Nieve
Dates: Dec 16, 2011 through Dec 17, 2011

Call for Proceedings Presentations: 2011-09-12 through 2011-10-20
 
Description
 
Important dates:
Oct 20, 2011 : Deadline for submission of extended abstracts
Nov 4, 2011: Acceptance notification
Dec 16 or 17, 2011: 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. These new types of scientific and clinical problems require novel supervised and unsupervised learning approaches that can use these growing resources.

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=mlcb2011

by Oct 20, 2011, 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).

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/.

Please note that accepted abstracts will be posted online at www.mlcb.org. Authors may submit two versions of their abstract, a longer version for review and a shorter version for posting to the web page. In addition, we intent to make presentations be video taped and published online as part of the videolectures.net website supported by Pascal.

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.

ORGANIZERS

Anna Goldenberg (University of Toronto, Canada)
Tomer Hertz (Fred Hutchinson Cancer Research Center, USA)
Christina Leslie (Memorial Sloan-Kettering Cancer Center, USA)
Yanjun Qi (NEC Research, USA)
Gunnar Rätsch (Friedrich Miescher Laboratory of the Max Planck Society, Germany)
Jean-Philippe Vert (Mines ParisTech, Institut Curie, France)
 
Additional Information
 
Event URL: http://www.mlcb.org/
ISCB Member Discount: None
Contact Person: Jean-Philippe Vert ([javascript protected email address])

While ISCB provides for conference and event listings that may be of interest to members and bioinformaticians at large, ISCB is not responsible for the content provided by outside sources. Such listings are not meant as an endorsement by ISCB.



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