Inferring robust gene networks from expression data by a sensitivity-based incremental evolution method.
OPEN BMC bioinformatics | 24 May 2012
YT Hsiao and WP Lee
Reconstructing gene regulatory networks (GRNs) from expression data is one of the most important challenges in systems biology research. Many computational models and methods have been proposed to automate the process of network reconstruction. Inferring robust networks with desired behaviours remains challenging, however. This problem is related to network dynamics but has yet to be investigated using network modeling.
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