The yeast coexpression network has a small-world, scale-free architecture and can be explained by a simple model
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Genomes, phylogeny, and evolutionary systems biologyThe origins and evolution of functional modules: lessons from protein complexesStructure and evolution of protein interaction networks: a statistical model for link dynamics and gene duplicationsMicroarray missing data imputation based on a set theoretic framework and biological knowledgeSubgraph centrality in complex networksUsing genome-wide expression profiling to define gene networks relevant to the study of complex traits: from RNA integrity to network topologyUsing expression genetics to study the neurobiology of ethanol and alcoholismEvolution of gene regulatory networks by fluctuating selection and intrinsic constraintsCo-evolutionary networks of genes and cellular processes across fungal speciesThe construction of an amino acid network for understanding protein structure and function.VTCdb: a gene co-expression database for the crop species Vitis vinifera (grapevine).An effective method for network module extraction from microarray dataOrthoClust: an orthology-based network framework for clustering data across multiple species.Co-expression network-based analysis of hippocampal expression data associated with Alzheimer's disease using a novel algorithm.Large-Scale Public Transcriptomic Data Mining Reveals a Tight Connection between the Transport of Nitrogen and Other Transport Processes in Arabidopsis.Construction of a reference gene association network from multiple profiling data: application to data analysis.The properties of high-dimensional data spaces: implications for exploring gene and protein expression data.Differential coexpression analysis using microarray data and its application to human cancer.Gene connectivity, function, and sequence conservation: predictions from modular yeast co-expression networks.The information coded in the yeast response elements accounts for most of the topological properties of its transcriptional regulation networkUsing likelihood-free inference to compare evolutionary dynamics of the protein networks of H. pylori and P. falciparumEvolutionarily conserved transcriptional co-expression guiding embryonic stem cell differentiationHuman gene coexpression landscape: confident network derived from tissue transcriptomic profilesImproved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis.Information processing in the transcriptional regulatory network of yeast: functional robustnessA global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.A general co-expression network-based approach to gene expression analysis: comparison and applications.A human functional protein interaction network and its application to cancer data analysisCo-expression module analysis reveals biological processes, genomic gain, and regulatory mechanisms associated with breast cancer progressionAssessing the biological significance of gene expression signatures and co-expression modules by studying their network propertiesSubnets of scale-free networks are not scale-free: sampling properties of networks.Systematic identification of functional modules and cis-regulatory elements in Arabidopsis thaliana.A densely interconnected genome-wide network of microRNAs and oncogenic pathways revealed using gene expression signaturesFunctional and genetic analysis of the colon cancer network.Genetic architecture of gene expression in the chickenMining the bladder cancer-associated genes by an integrated strategy for the construction and analysis of differential co-expression networks.Computational design of binding proteins to EGFR domain II.Differentially expressed genes in major depression reside on the periphery of resilient gene coexpression networks.Analysis of gene coexpression by B-spline based CoD estimation.Conservation and evolution of gene coexpression networks in human and chimpanzee brains.
P2860
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P2860
The yeast coexpression network has a small-world, scale-free architecture and can be explained by a simple model
description
2004 nî lūn-bûn
@nan
2004 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
The yeast coexpression network ...... be explained by a simple model
@ast
The yeast coexpression network ...... be explained by a simple model
@en
The yeast coexpression network ...... be explained by a simple model
@nl
type
label
The yeast coexpression network ...... be explained by a simple model
@ast
The yeast coexpression network ...... be explained by a simple model
@en
The yeast coexpression network ...... be explained by a simple model
@nl
prefLabel
The yeast coexpression network ...... be explained by a simple model
@ast
The yeast coexpression network ...... be explained by a simple model
@en
The yeast coexpression network ...... be explained by a simple model
@nl
P2860
P50
P3181
P356
P1433
P1476
The yeast coexpression network ...... be explained by a simple model
@en
P2860
P304
P3181
P356
10.1038/SJ.EMBOR.7400090
P407
P577
2004-02-13T00:00:00Z