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 language | English (US) |
|---|---|
| Title of host publication | 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 |
| Pages | 1009-1011 |
| Number of pages | 3 |
| DOIs | |
| State | Published - Dec 1 2011 |
| Event | 2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States Duration: Nov 12 2011 → Nov 15 2011 |
Publication series
| Name | 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 |
|---|
Other
| Other | 2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011 |
|---|---|
| Country | United States |
| City | Atlanta, GA |
| Period | 11/12/11 → 11/15/11 |
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Keywords
- B-cell receptor
- Cytokine
- NOD-like receptor
- chemokine
- microarray
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Integration of statistical models and visualization tools to characterize microRNA networks influencing cancer
AU - Karnia, James
AU - Delfino, Kristin R.
AU - Villamil, Maria Bonita
AU - Caetano-Anolles, Gustavo
AU - Rodriguez-Zas, Sandra Luisa
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
KW - B-cell receptor
KW - Cytokine
KW - NOD-like receptor
KW - chemokine
KW - microarray
UR - http://www.scopus.com/inward/record.url?scp=84856007676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856007676&partnerID=8YFLogxK
U2 - 10.1109/BIBMW.2011.6112541
DO - 10.1109/BIBMW.2011.6112541
M3 - Conference contribution
AN - SCOPUS:84856007676
SN - 9781457716133
T3 - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
SP - 1009
EP - 1011
BT - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
ER -