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CAMDA, a community-wide experiment of microarray data analysis, calls for your participation in 2004 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- All abstracts submitted for presentation at CAMDA must be previously unpublished original work.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:
Extended abstracts should follow the ACM proceedings format (http://www.acm.org/sigs/pubs/proceed/template.html) on 8 1/2" x 11" paper. If your abstract is not in this format your paper will not be accepted. For original research papers the abstract page limit is a maximum of 5. A cover page (template in Word format) should be accompanied with the abstract submission.
The deadline for submission is July 30, 2004. All submissions should be emailed to camda@mc.duke.edu. The authors will be notified by September 6, 2004.
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 Guideline:
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.
- This will help to present an easier framework for comparisons of different approaches.
- Discussion of the merits, assumptions, and limitations of your approach
- Conclusions
Questions concerning the CAMDA 2004 Call for Posters should be directed to:
camda@mc.duke.edu.
Sponsors:
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