| Workshop on Machine Learning in Computational Biology | |
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United States - NE - Lake Tahoe |
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| Hosted by: | NIPS 2012 |
| Dates: | Dec 07, 2012 through Dec 08, 2012 |
| Call for Proceedings Presentations: | 2012-09-01 through 2012-10-21 |
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Description |
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| 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) |
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| Additional Information | |
| Event URL: | http://www.mlcb.org |
| ISCB Member Discount: | None |
| Contact Person: | Jean-Philippe Vert ([javascript protected email address]) |
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