Gene Network
Towards evaluation of inferred gene network
... inferred gene network has not been ...costly gene knock out experiments whether the inferred interactions are spurious(false) or newly discovered unknown interactions ...
6
Towards gene network estimation with structure learning
... complex. Gene interactions are studied through gene network. Gene network is a group of coordinately expressed genes controlling a particular function of an ...reconstructing ...
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A gene network model for developing cell lineages
... The innate tendency of control mechanisms based on recurrent networks to generate systematic or quasi-systematic structures may offer some insight into the topologies of cell lineages observed in nature. If the control ...
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Robust estimation of stochastic gene network systems
... the gene networks of real biological systems are generally non-ideal and invariably ...of gene network are estimated to reconstruct its model form noisy measured data ...
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Unravelling personalized dysfunctional gene network of complex diseases based on differential network model
... specific network characteristics for individual patients in this paper, a novel differential network model, ...dysfunctional gene network, is proposed to integrate those genes with different ...
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Developmental gene network analysis
... the network of cis-regulatory interactions that underlies the specification of the endomesoderm of the sea urchin embryo is analyzed ...of gene expres- sion; refining the specification pattern; and ...
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Informative gene network for chemotherapy-induced peripheral neuropathy
... The network generation process first ranks the focus genes in decreas- ing order on the basis of triangular connectivity, which measures the number of tri- angular connections in which a gene functions (or ...
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Gene network analysis in plant development by genomic technologies
... for network definition and, eventually, ...dynamical network models by deriv- ing and combining logical rules from available experimental data (primarily, genetic interactions and expression patterns of the ...
15
Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma
... transcript-based network (TN) and the gene-based network (GN) derived from the transcriptomes of paired tumor–normal tissues from 77 lung adenocarcinoma ...
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Identifying driver genes involving gene dysregulated expression, tissue-specific expression and gene-gene network
... The core step to overcome cancer is to identify the cancer driver genes which can promote cancer evolvement and de- velopment. However, it is a hard task since cancer is hetero- geneous and there are too much irrelevant ...
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Constructing an integrated gene similarity network for the identification of disease genes
... PPI network and phenotype similarity network, and then prioritized the candidate genes with the help of can- didate protein ...heterogeneous network by making the best use of the phenotype simila- ...
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A network view of microRNA and gene interactions in different pathological stages of colon cancer
... showed that there is significant difference among the miRNA-gene associations and interactions in different pathological stages. Particularly, pathological stage II was notably different from other stages ...
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Identification of Key Metabolites for Acute Lung Injury in Patients with Sepsis
... composite network was constructed through integrating six data set (gene network, metabolite network, phenotype net- work, gene-metabolite association network, phe- ...
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A collection of bioconductor methods to visualize gene list annotations
... “Concept-and-Gene Network” and the “Concept- and-Gene Cross Tabulation” visualization methods pro- vided by the new Bioconductor package “GeneAnswers” are powerful tools that generate a macroscopic ...
5
Transcriptome profiling in engrailed-2 mutant mice reveals common molecular pathways associated with autism spectrum disorders
... Using gene ontology enrichment, integrated gene-network analysis and mouse phenotypes analysis, we report significantly enriched functions and pathways that were previously associated to ASD ...the ...
12
MiRNA-disease interaction prediction based on kernel neighborhood similarity and multi-network bidirectional propagation
... non-human gene and converted the gene ID into Entrez Gene identi- fiers, a total of 423,392 interactions between 18,345 genes and 1084 miRNAs are ...weighted gene network data from the ...
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Dynamical Analysis of Regulatory Interactions in the Gap Gene System of Drosophila melanogaster
... gap gene system constitutes the most upstream zygotic layer of this regulatory hierarchy, responsible for the initial interpretation of positional information encoded by maternal ...gap gene regulation ...
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Differential Connectivity in Colorectal Cancer Gene Expression Network
... cellular network topology as a graph by recognizing regulatory interactions from non-regulatory interactions and removing non-causal ...inferring gene network using GGM algorithm is that the selected ...
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<p>Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression</p>
... of gene coex- pression networks and the identi fi cation of gene clusters or modules is especially useful in identifying transcriptional alterations in multigene diseases, where the phenotypic state emerges ...
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Complex Networks Community Structure Division Algorithm Based on Multi-gene Families Encoding
... the gene expression; meanwhile, some characteristic gene expression programming operator such as chromosome inversion, restricted permutation etc were introduced in the ...
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