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The CSSBN approach can further predict the steady state distribution of a glioma network under gene intervention.
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Because of the genetic robustness and redundancy that is inherent in metabolic networks under single gene knockouts [ 41- 46], there are only few strains with novel metabolic capabilities.
Top gene network of under-expressed genes.
Gene network information has been used to improve gene selection in microarray-based studies by selecting marker genes based both on their expression and the coordinate expression of genes within their gene network under a given condition.
With the development of biological technologies, multiple time-course gene expression datasets might be collected for a specific gene network under different circumstances.
The selected OsTrihelix genes from different sub-clades throughout phylogenetic analysis and their co-expressed genes were subjected to the Cytoscape program to visualize the co-expression gene network under edge-weighted force-directed layout.
The last column indicates the number of SNPs networks constructing from the corresponding gene network under a P <0.01 significance.
A nonlinear stochastic dynamic model with multiple time delays is proposed for describing a gene network under process delays, intrinsic molecular fluctuations, and extrinsic molecular noises.
Firstly, a nonlinear stochastic time-delayed model is developed to mimic the realistic dynamic behavior of a gene network under process delays, random intrinsic and extrinsic molecular noises.
(1) Gaussian graphical model: From the methodological point of view, it is desired to include the sparse Gaussian graphical model (GGM) approach for estimating the gene network under the multivariate normal assumption from a microarray data set.
Given gene regulatory information, for example extracted from biochemical pathways or a global transcriptional network, a gene set under investigation and gene expression data sampling different conditions, GGEA performs three essential steps (Fig. 1): first, the gene set is mapped onto the underlying regulatory network, yielding an induced subnetwork.
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