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

Fingerprint

Statistical Models
MicroRNAs
Immune system
Immune System
Visualization
Genes
Gene Expression
Neoplasms
Gene Regulatory Networks
Computational Biology
B-Lymphocytes
Bioinformatics
Microarrays
Gene expression
Cells
Topology
Experiments

Keywords

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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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

Integration of statistical models and visualization tools to characterize microRNA networks influencing cancer. / Karnia, James; Delfino, Kristin R.; Villamil, Maria Bonita; Caetano-Anolles, Gustavo; Rodriguez-Zas, Sandra Luisa.

2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011. 2011. p. 1009-1011 6112541 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011).

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

Karnia, J, Delfino, KR, Villamil, MB, Caetano-Anolles, G & Rodriguez-Zas, SL 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., 6112541, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, pp. 1009-1011, 2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011, Atlanta, GA, United States, 11/12/11. https://doi.org/10.1109/BIBMW.2011.6112541
Karnia J, Delfino KR, Villamil MB, Caetano-Anolles G, Rodriguez-Zas SL. 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. 2011. p. 1009-1011. 6112541. (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011). https://doi.org/10.1109/BIBMW.2011.6112541
Karnia, James ; Delfino, Kristin R. ; Villamil, Maria Bonita ; Caetano-Anolles, Gustavo ; Rodriguez-Zas, Sandra Luisa. / Integration of statistical models and visualization tools to characterize microRNA networks influencing cancer. 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011. 2011. pp. 1009-1011 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011).
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