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CAMDA 2006 Conference Call for Posters
CAMDA, a community-wide experiment of microarray data analysis, calls for your participation in 2006 to be a part of our Poster Fair. We are inviting original posters related to any datasets. All submissions must follow these rules:
  • All abstracts submitted for presentation at CAMDA must be previously unpublished original work.
  • You are, however, allowed to present your work at other conferences. 
  • Authors are encouraged to reference the proceedings of the past three years (Methods for Microarray Analysis, volume I, II and III. Kluwer, Boston, MA. 2001, 2002 & 2003) for the previous contributions.
  • Poster presentation: The size of the poster board is 4 x 4. Please keep in mind that there will not be room for your poster presentations to be larger then 4' x 4'. If your poster is larger then the specified width you will not be able to show all your work.

Paper Submission Format

An extended abstract is necessary for the selection process by the scientific committee. The extended abstract should include key results, figures, and tables. For original research papers the abstract page limit is 5.  The following cover sheet should be accompanied with the abstract submission. WE ONLY EXCEPT MICROSOFT WORD FORMAT. If your abstract is not in this format your paper will not be accepted.

The deadline for submission is February 10, 2006. All submissions should be emailed to camda@mc.duke.edu.  The authors will be notified by March 17, 2006.

Poster Fair Presenters

Those chosen to participate in the Poster Fair need to register for the conference.  Only one author will be allowed to attend the conference without a fee.

CAMDA Poster Presentation Guidelines

Feedback of previous CAMDA attendees indicates the need for emphasis of biological relevance in addition to the data mining methodology. The submitted contributions are encouraged to include:

  • The proposed analytical objective (problems to be solved).
  • A brief summary of the analytical effort (how to solve the problem).
  • This may include the data preprocessing tasks such as data normalization, and data extraction, data mining steps and algorithms used, as well as the evaluation criteria.
  •  Interpretation of results and presentation of discoveries in a biological context.
  •  Discussion of the merits, assumptions, and limitations of your approach
  •  Conclusions

Questions concerning the CAMDA 2006 Call for Posters should be directed to:


Last modified on 06/10/2005 16:35:06

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