Yan Li1,2, Dayou Liu1,2, Yungang Zhu1,2, Jie Liu1,2,*
CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 303-313, 2020, DOI:10.32604/cmes.2020.09353
Abstract Under different conditions, gene regulatory networks (GRNs) of the
same gene set could be similar but different. The differential analysis of GRNs
under different conditions is important for understanding condition-specific gene
regulatory relationships. In a naive approach, existing GRN inference algorithms
can be used to separately estimate two GRNs under different conditions and identify the differences between them. However, in this way, the similarities between
the pairwise GRNs are not taken into account. Several joint differential analysis
algorithms have been proposed recently, which were proved to outperform the
naive approach apparently. In this paper, we model the GRNs under different… More >
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