Sökning: L773:1545 5963 OR L773:1557 9964 >
Constructing and an...
Constructing and analyzing a large-scale gene-to-gene regulatory network Lasso-constrained inference and biological validation
-
- Gustafsson, Mika, 1977- (författare)
- Linköpings universitet,Institutionen för teknik och naturvetenskap,Tekniska högskolan
-
- Hörnquist, Michael, 1969- (författare)
- Linköpings universitet,Institutionen för teknik och naturvetenskap,Tekniska högskolan
-
- Lombardi, Anna, 1965- (författare)
- Linköpings universitet,Institutionen för teknik och naturvetenskap,Tekniska högskolan
-
(creator_code:org_t)
- 2005
- 2005
- Engelska.
-
Ingår i: IEEE/ACM Transactions on Computational Biology & Bioinformatics. - 1545-5963 .- 1557-9964. ; 2:3, s. 254-261
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- We construct a gene-to-gene regulatory network from time-series data of expression levels for the whole genome of the yeast Saccharomyces cerevisae, in a case where the number of measurements is much smaller than the number of genes in the network. This network is analyzed with respect to present biological knowledge of all genes (according to the Gene Ontology database), and we find some of its large-scale properties to be in accordance with known facts about the organism. The linear modeling employed here has been explored several times, but due to lack of any validation beyond investigating individual genes, it has been seriously questioned with respect to its applicability to biological systems. Our results show the adequacy of the approach and make further investigations of the model meaningful.
Nyckelord
- TECHNOLOGY
- TEKNIKVETENSKAP
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas