Revealing strengths and weaknesses of methods for gene network inference
Numerous methods have been developed for inferring gene regulatory networks from expression data, however, both their absolute and comparative performance remain poorly understood. In this paper, we introduce a framework for critical performance assessment of methods for gene network inference. We p...
Main Authors: | Marbach, Daniel, Schaffter, Thomas, Prill, Robert J., Mattiussi, Claudio, Floreano, Dario, Stolovitzky, Gustavo |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
National Academy of Sciences
2011
|
Online Access: | http://hdl.handle.net/1721.1/61406 |
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