Linked Life Data

17907680

Source:http://linkedlifedata.com/resource/pubmed/id/17907680

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2007-10-2
pubmed:abstractText
Genes interact with each other in complex networks that enable the processing of information and the metabolism of nutrients inside the cell. A novel inference algorithm based on linear ordinary differential equations is proposed. The algorithm can infer the local network of gene-gene interactions surrounding a gene of interest from time-series gene expression profiles. The performance of the algorithm has been tested on in silico simulated gene expression data and on a nine gene subnetwork part of the DNA-damage response pathway (SOS pathway) in the bacteria Escherichia coli. This approach can infer regulatory interactions even when only a small number of measurements is available.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1751-8849
pubmed:author
pubmed:issnType
Print
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
306-12
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Inference of gene networks from temporal gene expression profiles.
pubmed:affiliation
Telethon Institute of Genetics and Medicine, Via P. Castellino 111, Naples 80131, Italy. bansal@tigem.it
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't