Publication: Revealing strengths and weaknesses of methods for gene network inference
Revealing strengths and weaknesses of methods for gene network inference
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Marbach, D., Prill, R., Schaffter, T., Mattiussi, C., Floreano, D., & Stolovitzky, G. (2010). Revealing strengths and weaknesses of methods for gene network inference. Proceedings of the National Academy of Sciences of the United States of America, 107(14), 6286–6291. https://doi.org/10.1073/pnas.0913357107
Abstract
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Abstract
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 present an in silico benchmark suite that we provided as a blinded, community-wide challenge within the context of the DREAM (Dialogue on Reverse Engineering Assessment and Methods) project. We assess the performance of 29 gene-network-infer
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Marbach, D., Prill, R., Schaffter, T., Mattiussi, C., Floreano, D., & Stolovitzky, G. (2010). Revealing strengths and weaknesses of methods for gene network inference. Proceedings of the National Academy of Sciences of the United States of America, 107(14), 6286–6291. https://doi.org/10.1073/pnas.0913357107