Linked Life Data

16904203

Source:http://linkedlifedata.com/resource/pubmed/id/16904203

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2006-9-12
pubmed:abstractText
Gene expression microarrays are now established as a standard tool in biological and biochemical laboratories. Interpreting the masses of data generated by this technology poses a number of unusual new challenges. Over the past few years a consensus has begun to emerge concerning the most important pitfalls and the proper ways to avoid them. This review provides an overview of these ideas, beginning with relevant aspects of experimental design and normalization, but focusing in particular on the various tools and concepts that help to interpret microarray results. These new approaches make it much easier to extract biologically relevant and reliable hypotheses in an objective and reasonably unbiased fashion.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0006-3002
pubmed:author
pubmed:issnType
Print
pubmed:volume
1759
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
319-27
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Biological microarray interpretation: the rules of engagement.
pubmed:affiliation
Groningen Bioinformatics Centre, University of Groningen, Kerklaan 30, 9751 NN Haren, The Netherlands. r.breitling@rug.nl
pubmed:publicationType
Journal Article, Review