Integration of statistical models and visualization tools to characterize microRNA networks influencing cancer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Gene expression microarray experiments can be used to infer the topology of co-expression networks between genes in the immune-system pathways. Immune-system pathways are highly dimensional, including numerous gene nodes and edges connecting nodes. A bioinformatics strategy to infer and confirm gene co-expression networks was developed and applied to two major immune-system pathways. In total, 182 and 356 co-expression profiles between pairs of genes were identified in the NOD-like and B-cell receptor signaling pathways. The distinct distribution of the sign of the relationships among the pathways offered additional insights into the network.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages1009-1011
Number of pages3
DOIs
StatePublished - Dec 1 2011
Event2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States
Duration: Nov 12 2011Nov 15 2011

Publication series

Name2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Other

Other2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011
CountryUnited States
CityAtlanta, GA
Period11/12/1111/15/11

Keywords

  • B-cell receptor
  • Cytokine
  • NOD-like receptor
  • chemokine
  • microarray

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Karnia, J., Delfino, K. R., Villamil, M. B., Caetano-Anolles, G., & Rodriguez-Zas, S. L. (2011). Integration of statistical models and visualization tools to characterize microRNA networks influencing cancer. In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 (pp. 1009-1011). [6112541] (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011). https://doi.org/10.1109/BIBMW.2011.6112541