DREAM2 Conference

DREAM2 Conference

Monday, December 3, 2007 - Tuesday, December 4, 2007

The New York Academy of Sciences

Presented By

 

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

Click here for directions.

Hotels Near 7 World Trade Center

Recommended partner hotel:


Club Quarters, Wall Street

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

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