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Call for Contributions

Deadline for submission of extended abstracts: November 1st, 2005, 9am EST

Workshop Description

The field of computational biology has seen a dramatic growth over the past few years, both in terms of new 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 could 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. The new types of scientific and clinical problems require novel supervised and unsupervised learning approaches that can use these growing resources.

The workshop will host presentation 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, feature selection and other techniques applied to relevant bioinformatics problems would all be appropriate for the workshop.

Please see the workshop's web page for further information.

Submission instructions:

Researchers interested in contributing should send an extended abstract of 1-4 pages in pdf format to nips-compbio@tuebingen.mpg.de by November 1, 2005, 9 am EST. The workshop organizers intend to invite submissions of full length versions of accepted workshop contributions for publication in a special issue of a BMC Bioinformatics.

Organizers

  • Christina Leslie, Center for Computational Learning Systems, Columbia University
  • Gunnar Rätsch, Friedrich Miescher Laboratory of the Max Planck Society (Tübingen)
  • Koji Tsuda, AIST Computational Biology Research Center (Tokyo)

Program Committee

  • Michael I. Jordan, UC Berkeley
  • William Stafford Noble, University of Washington
  • Kristin Bennett, Rensselaer Polytechnic Institute
  • Nir Friedman, Hebrew University and Harvard
  • Gal Chechik, Stanford University
  • Nello Cristianini, UC Davis
  • Alexander Hartemink, Duke University
  • Pierre Baldi, UC Irvine
  • Eleazar Eskin, UC San Diego
  • Eran Segal, Stanford University
  • Michal Linial, The Hebrew University of Jerusalem
  • Klaus-Robert Müller, Fraunhofer FIRST
  • Alexander Schliep, Max Planck Institute for Molecular Genetics
  • Bernhard Schölkopf, Max Planck Institute for Biological Cybernetics
  • Jean-Philippe Vert, Ecole des Mines de Paris

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