| Machine Learning in Computational Biology (MLCB 2009) | |
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Canada - BC - Whistler |
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| Hosted by: | A workshop at the Twenty-Third Annual Conference on Neural Information Processing Systems (NIPS 2009) |
| Dates: | Dec 11, 2009 through Dec 12, 2009 |
| Call for Proceedings Presentations: | 2009-08-26 through 2009-09-27 |
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Description |
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| 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), 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. |
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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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