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2nd CFP: Workshop on Learning Graphical Models for Computational Genomics

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  • Roby Joehanes
    Second CFP: IJCAI-2003 Workshop -- Learning Graphical Models for Computational Genomics Saturday, 9 August 2003 Acapulco, Mexico
    Message 1 of 1 , Jan 11, 2003
      Second CFP: IJCAI-2003 Workshop -- Learning Graphical Models for
      Computational Genomics
      Saturday, 9 August 2003
      Acapulco, Mexico

      Recent advances in experimental tools for computational genomics have
      led to sharp growth in data resources for bioinformatics problems
      such as modeling of gene expression and gene-protein interaction.
      This provides an interesting application domain for intelligent
      systems that learn graphical models from data for causal modeling,
      time series simulation and prediction, and classification and
      regression problems in computational life sciences.

      In response, we propose a workshop to bring together researchers in
      intelligent systems who are interested in:
      * probabilistic reasoning and learning with the primary focus of:
      - learning the structure of graphical models from data,
      - new graphical models such as types of dynamic Bayesian networks,
      stochastic and other approximation algorithms for inference,
      - structure learning;
      * constraint-based knowledge representation;
      * parameter estimation on graphical models and dynamical systems.


      Active research topics that are relevant to learning graphical
      models for computational genomics include:
      * functional genomics, which includes:
      - modeling of gene regulatory dynamics,
      - data mining from DNA hybridization microarrays,
      - other gene modeling tools such as northern blots;
      * building simulation models for metabolomics on:
      - biochemical pathways,
      - environmental stress-response,
      - cellular process regulation;
      * proteomics, such as:
      - secondary and tertiary fold prediction
      - gene-protein interaction;
      * other contemporary bioinformatics problems, such as:
      - intelligent systems for pharmacology,
      - plant science and crop simulation,
      - decision support systems for human and veterinary medicine,
      - phylogenetic modeling.


      The one day workshop will include one or more invited talks and
      specialized tutorials on state-of-the-art research problems and
      methodologies, presentations by selected participants, and a panel
      and open discussion on key topics.


      This workshop is intended for researchers and practitioners in the
      area of bioinformatics and uncertain reasoning using graphical models
      for computational genomics.

      Researchers with an interest in machine learning, medical
      informatics, microbiology, biophysics, and knowledge discovery in
      databases (KDD) will also find this workshop of interest.

      ---Paper Submissions

      Participants are encouraged to submit papers (up to 8 pages in
      length) on recent and continuing research, formatted according to
      IJCAI guidelines. Experimental results are also encouraged,
      especially on fielded applications, even if they are only
      preliminary. Papers should be submitted electronically in Postscipt,
      PDF, MS Word format via e-mail.

      To encourage participation but focus discussions on key topics, we
      also invite 2-page research synopses and position papers from
      attendants who do not submit full papers.

      Each submission shall be accompanied by a short statement, up to 500
      words or one page in length from each participants. This should
      describe your interest in and perspectives on this workshop topic.

      DUAL SUBMISSION POLICY: Submission of short (2-page OR 6-8 page)
      synopses of articles currently in preparation, under review, or
      accepted for publication as journals or book chapters is permitted.
      Submission of full-length papers currently under review for other
      conferences and workshops is also permitted. However, these papers
      shall be published in the working notes for this workshop if and
      only if they are compliant with the dual-submission guidelines of
      the other conference or workshop.

      Please consult the workshop web page for formatting instructions.

      All submissions should be sent to:
      (Please replace "(AT)" with the appropriate symbol.)

      ---Important Dates

      Mar 01, 2003 Submission deadline
      Mar 21, 2003 Acceptance notification
      May 16, 2003 Camera-ready version of papers

      ---Organizing Chairs

      William H. Hsu (primary contact)
      Department of Computing and Information Sciences
      Kansas State University
      234 Nichols Hall
      Manhattan, KS 66506-2302
      t: (785) 532-6350 ext. 29
      f: (785) 539-7180
      e: bhsu-AT-cis.ksu.edu
      w: http://www.cis.ksu.edu/~bhsu

      Roby Joehanes (primary contact)
      Department of Computing and Information Sciences
      Kansas State University
      234 Nichols Hall
      Manhattan, KS 66506-2302
      t: (785) 532-6350 ext. 55
      f: (785) 537-9927
      e: robbyjo-AT-cis.ksu.edu
      w: http://www.cis.ksu.edu/~robbyjo

      C. David Page, Jr.
      Department of Biostatistics and Medical Informatics (Medical School)
      and Department of Computer Sciences
      University of Wisconsin-Madison
      Medical Science Center, Room 6743
      1300 University Avenue
      Madison, WI 53706
      t: (608) 265-6168
      f: (608) 263-0415
      e: page-AT-biostat.wisc.edu
      w: http://www.cs.wisc.edu/~dpage

      ---Program Committee

      - Mark Craven, University of Wisconsin-Madison
      - Dan Geiger, Technion, Israel
      - David Gilbert, University of Glasgow
      - Haipeng Guo, Kansas State University
      - Lei Liu, University of Illinois at Urbana-Champaign
      - Irene Ong, University of Wisconsin-Madison
      - Jude Shavlik, University of Wisconsin-Madison
      - Stephen M Welch, Kansas State University

      ---Additional information

      Please consult the following web page:
      for more information.

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