Abstract
The expression of genes depends on the physical structure of DNA, how the function of DNA is regulated by the transcription factors expressed by other genes, RNA regulation, such as that through RNA interference, and protein signals mediated by protein-protein interaction networks. We illustrate different approaches to determining information about the network of gene regulation from experimental data. First, we show that we can use statistical information of the mRNA expression values to determine the global topological properties of the gene regulatory network. Second, we show that analyzing the changes in expression due to mutations or different environmental conditions can give us information on the relative importance of the different mechanisms involved in gene regulation.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Research on Computational Methodologies in Gene Regulatory Networks |
| Publisher | IGI Global |
| Pages | 405-428 |
| Number of pages | 24 |
| ISBN (Print) | 9781605666853 |
| DOIs | |
| State | Published - Dec 1 2009 |
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ASJC Scopus subject areas
- Health Professions(all)
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Determining the properties of gene regulatory networks from expression data. / Liebovitch, Larry S.; Shehadeh, Lina; Jirsa, Viktor K.; Hütt, Marc Thorsten; Marr, Carsten.
Handbook of Research on Computational Methodologies in Gene Regulatory Networks. IGI Global, 2009. p. 405-428.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Determining the properties of gene regulatory networks from expression data
AU - Liebovitch, Larry S.
AU - Shehadeh, Lina
AU - Jirsa, Viktor K.
AU - Hütt, Marc Thorsten
AU - Marr, Carsten
PY - 2009/12/1
Y1 - 2009/12/1
N2 - The expression of genes depends on the physical structure of DNA, how the function of DNA is regulated by the transcription factors expressed by other genes, RNA regulation, such as that through RNA interference, and protein signals mediated by protein-protein interaction networks. We illustrate different approaches to determining information about the network of gene regulation from experimental data. First, we show that we can use statistical information of the mRNA expression values to determine the global topological properties of the gene regulatory network. Second, we show that analyzing the changes in expression due to mutations or different environmental conditions can give us information on the relative importance of the different mechanisms involved in gene regulation.
AB - The expression of genes depends on the physical structure of DNA, how the function of DNA is regulated by the transcription factors expressed by other genes, RNA regulation, such as that through RNA interference, and protein signals mediated by protein-protein interaction networks. We illustrate different approaches to determining information about the network of gene regulation from experimental data. First, we show that we can use statistical information of the mRNA expression values to determine the global topological properties of the gene regulatory network. Second, we show that analyzing the changes in expression due to mutations or different environmental conditions can give us information on the relative importance of the different mechanisms involved in gene regulation.
UR - http://www.scopus.com/inward/record.url?scp=81355157213&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=81355157213&partnerID=8YFLogxK
U2 - 10.4018/978-1-60566-685-3.ch017
DO - 10.4018/978-1-60566-685-3.ch017
M3 - Chapter
AN - SCOPUS:81355157213
SN - 9781605666853
SP - 405
EP - 428
BT - Handbook of Research on Computational Methodologies in Gene Regulatory Networks
PB - IGI Global
ER -