An approach to evaluate the topological significance of motifs and other patterns in regulatory networks

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An approach to evaluate the topological significance of motifs and other patterns in regulatory networks is …
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scholarly articleQ13442814

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P8978DBLP publication IDjournals/bmcsb/GoemannWP09
P6179Dimensions Publication ID1024806137
P356DOI10.1186/1752-0509-3-53
P932PMC publication ID2694767
P698PubMed publication ID19454001
P5875ResearchGate publication ID24438727

P50authorEdgar WingenderQ969067
P2093author name stringAnatolij P Potapov
Björn Goemann
P2860cites workScale-free networks in cell biologyQ22306161
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P433issue1
P407language of work or nameEnglishQ1860
P921main subjectapplied mathematicsQ33521
structural biologyQ908902
P304page(s)53
P577publication date2009-01-01
P1433published inBMC Systems BiologyQ4835949
P1476titleAn approach to evaluate the topological significance of motifs and other patterns in regulatory networks
P478volume3

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cites work (P2860)
Q28541174Computational analyses of synergism in small molecular network motifs
Q38088344Computational systems approach for drug target discovery.
Q33852639Elementary signaling modes predict the essentiality of signal transduction network components
Q37128639Network representations and methods for the analysis of chemical and biochemical pathways.
Q62580067Node-independent elementary signaling modes: A measure of redundancy in Boolean signaling transduction networks
Q36218037The architecture of the gene regulatory networks of different tissues

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