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- All abstracts submitted for presentation at CAMDA must be previously unpublished original work.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:
camda@mc.duke.edu.
Sponsors:
|
