Exploiting Binary Abstractions in Deciphering Gene Interactions
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We consider the problem of learning dynamical models of genetic regulatory networks from time-lapse measurements of gene expression. In our previous work [Porreca et al,Bioinformatics,2010], we described a method for the structural and parametric identific ...
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 ...
