Linked Life Data

15950303

Source:http://linkedlifedata.com/resource/pubmed/id/15950303

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2005-7-29
pubmed:abstractText
The development of microarray technology allows the simultaneous measurement of the expression of many thousands of genes. The information gained offers an unprecedented opportunity to fully characterize biological processes. However, this challenge will only be successful if new tools for the efficient integration and interpretation of large datasets are available. One of these tools, pathway analysis, involves looking for consistent but subtle changes in gene expression by incorporating either pathway or functional annotations. We review several methods of pathway analysis and compare the performance of three, the binomial distribution, z scores, and gene set enrichment analysis, on two microarray datasets. Pathway analysis is a promising tool to identify the mechanisms that underlie diseases, adaptive physiological compensatory responses and new avenues for investigation.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0167-7799
pubmed:author
pubmed:issnType
Print
pubmed:volume
23
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
429-35
pubmed:dateRevised
2007-8-13
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Pathways to the analysis of microarray data.
pubmed:affiliation
University of Cambridge Department of Clinical Biochemistry, Box 232, Addenbrooke's Hospital, Hills Road, Cambridge, UK, CB2 2QR. rkc24@cam.ac.uk
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't