Guoyi Zhao

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Head blight caused by Fusarium graminearum threatens world-wide wheat production, resulting in both yield loss and mycotoxin contamination. We reconstructed the global F. graminearum gene regulatory network (GRN) from a large collection of transcriptomic data using Bayesian network inference, a machine-learning algorithm. This GRN reveals connectivity(More)
The cyclic adenosine monophosphate-protein kinase A (cAMP-PKA) pathway is a central signalling cascade that transmits extracellular stimuli and governs cell responses through the second messenger cAMP. The importance of cAMP signalling in fungal biology has been well documented and the key conserved components, adenylate cyclase (AC) and the catalytic(More)
—In recent years, constructing regulatory networks using gene expression data has received extensive attentions. From Boolean network, Bayesian network to Module network, a number of models have been applied in order to learn the regulatory networks more accurately. The statistical power of network modeling is directly affected by sample size of available(More)
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