Lessons from the DREAM2 Challenges.

  title={Lessons from the DREAM2 Challenges.},
  author={Gustavo Stolovitzky and Robert J. Prill and Andrea Califano},
  journal={Annals of the New York Academy of Sciences},
Regardless of how creative, innovative, and elegant our computational methods, the ultimate proof of an algorithm's worth is the experimentally validated quality of its predictions. Unfortunately, this truism is hard to reduce to practice. Usually, modelers produce hundreds to hundreds of thousands of predictions, most (if not all) of which go untested. In a best-case scenario, a small subsample of predictions (three to ten usually) is experimentally validated, as a quality control step to… CONTINUE READING
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