The information coded in the yeast response elements accounts for most of the topological properties of its transcriptional regulation network

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The information coded in the yeast response elements accounts for most of the topological properties of its transcriptional regulation network is …
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scholarly articleQ13442814

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P819ADS bibcode2007PLoSO...2..501B
P818arXiv IDq-bio/0605045
P356DOI10.1371/JOURNAL.PONE.0000501
P932PMC publication ID1876808
P698PubMed publication ID17551581
P5875ResearchGate publication ID6284300

P50authorAyşe ErzanQ21431389
Muhittin MunganQ78078299
Duygu BalcanQ110251315
P2093author name stringAlkan Kabakçioğlu
P2860cites workStatistical mechanics of complex networksQ21563680
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The yeast coexpression network has a small-world, scale-free architecture and can be explained by a simple modelQ24537125
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Scale-Free Networks from Varying Vertex Intrinsic FitnessQ27350433
Towards more biological mutation operators in gene regulation studiesQ51620948
Revealing modular organization in the yeast transcriptional networkQ52036243
First and second moment of counts of words in random texts generated by Markov chainsQ52412962
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Communication in the Presence of NoiseQ56069497
Evolution of networksQ56170571
On Information and SufficiencyQ56286611
A critical point for random graphs with a given degree sequenceQ56564362
Detecting rich-club ordering in complex networksQ56762582
Characterization and modeling of protein–protein interaction networksQ56762585
The yeast protein interaction network evolves rapidly and contains few redundant duplicate genesQ74071558
Topological and causal structure of the yeast transcriptional regulatory networkQ77985187
Transcriptional regulatory networks in Saccharomyces cerevisiaeQ27860846
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Collective dynamics of 'small-world' networksQ27861064
Transcriptional regulatory code of a eukaryotic genomeQ27933887
Global mapping of the yeast genetic interaction networkQ27934987
Exploring complex networksQ28205472
Metabolic stability and epigenesis in randomly constructed genetic netsQ28256189
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The topological relationship between the large-scale attributes and local interaction patterns of complex networksQ33581367
Genomics, gene expression and DNA arraysQ33906813
Genomic analysis of regulatory network dynamics reveals large topological changesQ34348943
Evolution of gene networks by gene duplications: a mathematical model and its implications on genome organizationQ35231202
Back to the biology in systems biology: what can we learn from biomolecular networks?Q35784207
A proposal for using the ensemble approach to understand genetic regulatory networksQ40483450
Principles of transcriptional control in the metabolic network of Saccharomyces cerevisiaeQ47359603
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue6
P407language of work or nameEnglishQ1860
P304page(s)e501
P577publication date2007-06-06
P1433published inPLOS OneQ564954
P1476titleThe information coded in the yeast response elements accounts for most of the topological properties of its transcriptional regulation network
P478volume2

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Q33370551A publish-subscribe model of genetic networks
Q38204865An ensemble approach to the evolution of complex systems.
Q35783004Automated Identification of Core Regulatory Genes in Human Gene Regulatory Networks
Q33729125Information propagation within the Genetic Network of Saccharomyces cerevisiae
Q28742325Wikipedia information flow analysis reveals the scale-free architecture of the semantic space

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