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Machine Learning in Computational Biology

The NIPS workshop on Machine Learning in Computational Biology will be held in Whistler (B.C.) in December 12 2008. It will follow a mini-symposium on the same topic taking place at Vancouver on December 11 2008.

The 2008 workshop took place at whistler, Dec 11-12 2008.
See video recordings of the talks, and the program of the workshop and mini symposium.

Workshop Description

The field of computational biology has seen dramatic growth over the past few years, both in terms of available data, scientific questions and challenges for learning and inference. These new types of scientific and clinical problems require the development of novel machine learning approaches.

In particular, the field is characterized by a diversity of heterogeneous data. The human genome sequence is accompanied by real-valued gene expression data, functional annotation of genes, genotyping information, a graph of interacting proteins, a set of equations describing the dynamics of a system, localization of proteins in a cell, a phylogenetic tree relating species, natural language text in the form of papers describing experiments, partial models that provide priors, and numerous other data sources.

The goal of this workshop is to present emerging problems and machine learning techniques in computational biology. The workshop includes invited and submitted talks from experts in the fields of biology, bioinformatics and machine learning. The topics range from case studies of particular biological problems to novel learning approaches in computational biology.

Please check out the Call for contributions, and Instructions for reviewers.


  • Gal Chechik, Department of Computer Science, Stanford University
  • Christina Leslie, Center for Computational Learning Systems, Columbia University
  • William Stafford Noble, Department of Genome Sciences, University of Washington
  • Gunnar Rätsch, Friedrich Miescher Laboratory of the Max Planck Society (Tübingen, Germany)
  • Quaid Morris, Terrence Donnelley Centre for Cellular and Biomolecular Research, University of Toronto
  • Koji Tsuda, Max Planck Institute for biological Cybernetics (Tübingen, Germany)

Program Committee

  • Pierre Baldi, UC Irvine
  • Kristin Bennett, Rensselaer Polytechnic Institute
  • Mathieu Blanchette, McGill University
  • Florence d'Alche-Buc, Universit√© d'Evry-Val d'Essonne, Genopole
  • Eleazar Eskin, UC San Diego
  • Brendan Frey, University of Toronto
  • Nir Friedman, The Hebrew University of Jerusalem
  • David Heckerman, Microsoft Research
  • Michael I. Jordan, UC Berkeley
  • Alexander Hartemink, Duke University
  • Michal Linial, The Hebrew University of Jerusalem
  • Klaus-Robert Müller, Fraunhofer FIRST
  • Dana Pe'er, Columbia University
  • Uwe Ohler, Duke University
  • Alexander Schliep, Max Planck Institute for Molecular Genetics
  • Bernhard Schölkopf, Max Planck Institute for Biological Cybernetics
  • Eran Segal, The Weizmann institute
  • Jean-Philippe Vert, Ecole des Mines de Paris
  • Eric Xing, Carnegi-Melon University

Additional Reviewers (past and current workshops, alphabetic order)

Luis Perez-Breva, Barbara Englehardt, Tomer Hertz, Tim Hughes, Asa Ben-Hur, Rui Kuang, Su-In Lee, Jen Listgar, Hiroshi Mamitsuka, Sara Mostafavi, Noa Shefi, Motoki Shiga, Sebastian Schultheiss, Yanjun Qi, Koji Tsuda, Jean-Philippe Vert, Haidong Wang, Ilan Wapinski, John Winn, Chen Yanover


If you are interested in contributing or have comments please send an e-mail to one of the organizers, and check out the Call for contributions.

This workshop is supported by the EU PASCAL2 network of excellence and by Google Research.
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