Wisdom of crowds for robust gene network inference

Wisdom of crowds for robust gene network inference

Reconstructing gene regulatory networks from high-throughput data is a long-standing challenge. Through the Dialogue on Reverse Engineering Assessment and Methods (DREAM) project, we performed a comprehensive blind assessment of over 30 network inference methods on Escherichia coli, Staphylococcus a...

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Bibliographic Details
Main Authors: Marbach, Daniel (Contributor), Holmes, Benjamin Ray (Contributor), Kellis, Manolis (Contributor), DREAM5 Consortium (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2014-05-16T16:20:30Z.
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