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DREAM3 (Dialogue for Reverse Engineering Assessments and Methods) Conference

What Meeting
When 2008-10-29 08:00 to
2008-11-02 17:00
Where MIT, in the Broad Institute
Contact Name Gustavo Stolovitzky
Contact Email gustavo@us.ibm.com
Contact Phone (914) 945-1292
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DREAM 3 The 3rd DIALOGUE ON REVERSE ENGINEERING ASSESSMENT AND METHODS

Dear Colleagues,
 
We would like to cordially invite you to submit network inferences and answers to our new biological prediction challenges. To access the data sets, and descriptions of the challenges, please go to http://wiki.c2b2.columbia.edu/dream/index.php/The_DREAM3_Challenges. The best performers in these challenges will be invited  to present in the joint RECOMB Systems Biology/Regulatory Genomics/DREAM3 conference. See http://compbio.mit.edu/recombsat/ for details on this conference.

To learn more about the DREAM3 conference, please go to http://wiki.c2b2.columbia.edu/dream/index.php/The_3rd_DREAM_Conference

To learn more about the DREAM project, please go to http://wiki.c2b2.columbia.edu/dream/index.php/The_DREAM_Project

 
Network Inference and Predictions Submission Timeline

Mid June, 2008

Call for participation in the challenges. Challenges posted.

Sep 15, 2008

Predictions Submission deadline.

Oct 15, 2008

Notifications to predictors of their scores and ranks.

Oct 29-Nov 2, 2008

RECOMB Systems Biology/Regulatory Genomics/DREAM3 conference. (The DREAM3 conference track is on October 31.)


Prediction Submissions must be received in electronic form by 11:59pm (EST) of Sep 15, 2008.

DREAM3 is part of a project we call the DREAM (Dialogue for Reverse Engineering Assessments and Methods) project. Its main objective is to catalyze the interaction between experiment and theory in the area of cellular network inference. The fundamental question for DREAM is simple: How can researchers assess how well they are describing the networks of interacting molecules that underlie biological systems, and how well can they predict the results of a biological experiment? The answer is not so simple. Researchers have used a variety of algorithms to deduce the structure of very different biological and artificial networks, and evaluated their success using various metrics. What is still needed, and what DREAM aims to achieve, is a fair comparison of the strengths and weaknesses of the methods and a clear sense of the reliability of the network models they produce.

More information about this event…

last modified 2008-07-11 14:02