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Quantifying gene network connectivity in silico: Scalability and accuracy of a modular approach

Large, complex datasets that are generated from microarray experiments create a need for systematic analysis techniques to unravel the underlying connectivity of gene regulatory networks. A modular approach, previously proposed by Kholodenko and co-workers, helps to scale down the network complexity...

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Autors principals: Yalamanchili, Nirupama, Zak, Daniel E., Ogunnaike, Babatunde A., Schwaber, James S., Kriete, Andres, Kholodenko, Boris N.
Format: Artigo
Idioma:Inglês
Publicat: 2006
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2346590/
https://ncbi.nlm.nih.gov/pubmed/16986625
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