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Machine Learning in Computational Biology

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 supervised and unsupervised 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, with a particular emphasis on methods for computational learning from heterogeneous data. 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 following items:
  • Call for contributions,
  • Instructions for reviewers
  • workshop schedule, and
  • submission site

  • Organizers

    • 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
    • Michael I. Jordan, UC Berkeley
    • Alexander Hartemink, Duke University
    • Michal Linial, The Hebrew University of Jerusalem
    • Klaus-Robert Müller, Fraunhofer FIRST
    • 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

    Contact

    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 PASCAL network of excellence.

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