Linked Life Data

18086872

Source:http://linkedlifedata.com/resource/pubmed/id/18086872

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2008-2-25
pubmed:abstractText
One of the challenges in constructing biological models involves resolving meaningful data patterns from which the mathematical models will be generated. For models that describe the change of mRNA in response to drug administration, questions exist whether the correct genes have been selected given the myriad transcriptional effects that may occur. Oftentimes, different algorithms will select or cluster different groups of genes from the same data set. A new approach was developed that focuses on identifying the underlying global dynamics of the system instead of selecting individual genes. The procedure was applied to microarray genomic data obtained from rat liver after a large single dose of methylprednisolone in 52 adrenalectomized rats. Twelve clusters of at least 30 genes each were selected, reflecting the major changes over time. This method along with isolating the underlying dynamics of the system also extracts and clusters the genes that make up this global dynamic for further analysis as to the contributions of specific mechanisms affected by the drug.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1521-0103
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
324
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1243-54
pubmed:dateRevised
2011-4-21
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Extracting global system dynamics of corticosteroid genomic effects in rat liver.
pubmed:affiliation
Department of Biomedical Engineering, Rutgers University; 599 Taylor Rd., Piscataway, NJ 08544, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, Non-P.H.S., Research Support, N.I.H., Extramural