
DREAM2 Conference
Monday, December 3, 2007 - Tuesday, December 4, 2007
The purpose of this meeting is to bring researchers together to foster a dialogue on various aspects of reverse engineering of biological networks. Topics include algorithms for pathway inference, experimental designs and data types for reverse engineering, validation of inference predictions, metrics for inference and limitations of the reverse engineering approach. DREAM2 will also feature the discussion of five reverse engineering challenges composed of datasets which originated from a network unknown to the participants to the challenge. The predictors are invited to infer as best as possible the network from which the data originated. The actual networks, and the results of the predictions will be disclosed at the conference.
Speakers
Organizers
Gustavo Stolovitzky
IBM
Andrea Califano
Columbia University
Keynote Speakers
Ron Shamir
Tel Avib University
Mike Snyder
Yale University
Speakers
Tim Gardener
Boston University
Ravi Iyengar
Mount Sinai School of Medicine
Fritz Roth
Harvard University
Chris Sander
Memorial Sloan Kettering Cancer Center
Peter Sorger
MIT
Ilya Shmulevich
Institute for Systems Biology
Denis Vitkup
Columbia University
Ioannis Xenarios
Serono Pharmaceutical Research Institute
Travel & Lodging
Our Location
The New York Academy of Sciences
7 World Trade Center
250 Greenwich Street, 40th floor
New York, NY 10007-2157
212.298.8600
Hotels Near 7 World Trade Center
Recommended partner hotel:
52 William Street (Between Wall & Pine Streets)
New York, NY 10005
Phone: (212) 269-6400
Located in the center of historical New York, Club Quarters, at 52 William Street (between Pine & Wall Streets), is just a short walk to our location. The New York Academy of Sciences is a part of the Club Quarters network. Please feel free to make accommodations on-line to save significantly on hotel costs.
Password: NYAS
Other hotels located near 7 WTC:
212.945.0100 |
212.693.2001 |
212.385.4900 |
212.766.6600 |
212.742.0003 |
212.232.7700 |
212.747.1500 |
212.344.0800 |