Linked Life Data

21354968

Source:http://linkedlifedata.com/resource/pubmed/id/21354968

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2011-2-28
pubmed:abstractText
Microarray experiments can be used for simultaneous expression of thousands of genes in various conditions. Data from these experiments are used to identify the gene involved in a particular biological phenomenon. Most current methods for such analysis assume that genes are independent. We explored the interaction between genes to identify informative gene pairs. This was based on measuring the interaction information using the information theory. We show that there are two kinds of gene interaction, redundancy and synergy. We analysed these interactions to construct a network of redundancy and conducted a functional analysis of synergic components on two public datasets.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1744-5485
pubmed:author
pubmed:issnType
Print
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
628-42
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Exploring interaction measures to identify informative pairs of genes.
pubmed:affiliation
LIPADE, University Paris Descartes, 45 rue des Saint-Peres, 75006 Paris, France. hanczar_blaise@yahoo.fr
pubmed:publicationType
Journal Article