DREAM 5 Entries Show Progress in Reverse-Engineering Biological Networks, with Room for Improvement

While many DREAM 5 participants performed well in challenges that involved in silico networks, the results were “not so good” in tasks that involved in vivo networks, where gaps in experimental data mean that there are no “gold standards” to use for benchmarking.

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