Identification of complex biological network classes using extended correlation analysis

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Abstract

Modeling and analysis of complex biological networks necessitates suitable handling of data on a parallel scale. Using the IkB-NF-kB pathway model and a basis of sensitivity analysis, analytic methods are presented, extending correlation from the network kinetic reaction rates to that of the rate reactions. Alignment of correlated processed components, vastly outperforming correlation of the data source, advanced sets of biological classes possessing similar network activities. Additional construction generated a naturally structured, cardinally based system for component-specific investigation. The computationally driven procedures are described, with results demonstrating viability as mechanisms useful for fundamental oscillatory network activity investigation.
Original languageEnglish
Title of host publicationAdvanced control of chemical processes
EditorsVinay Kariwala, Lakshminarayanan Samavedham, Richard D Braatz
Place of PublicationNew York
Pages457-462
Number of pages6
Volume8
DOIs
Publication statusPublished - 2012
Event8th International Symposium on Advanced Control of Chemical Processes (ADCHEM 2012) - Singapore, Singapore
Duration: 10 Jul 201213 Jul 2012

Conference

Conference8th International Symposium on Advanced Control of Chemical Processes (ADCHEM 2012)
CountrySingapore
CitySingapore
Period10/07/1213/07/12

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Keywords

  • biological network classes
  • identification
  • complex
  • extended correlation analysis

Cite this

Lee, D., Yue, H., Yu, J., & Marshall, S. (2012). Identification of complex biological network classes using extended correlation analysis. In V. Kariwala, L. Samavedham, & R. D. Braatz (Eds.), Advanced control of chemical processes (Vol. 8, pp. 457-462). New York. https://doi.org/10.3182/20120710-4-SG-2026.00071