14597311

Source:http://linkedlifedata.com/resource/pubmed/id/14597311

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0002045, umls-concept:C0185125, umls-concept:C0600597, umls-concept:C0936012
pubmed:issue	4
pubmed:dateCreated	2003-11-4
pubmed:abstractText	In the past several years, oligonucleotide microarrays have emerged as a widely used tool for the simultaneous, non-biased measurement of expression levels for thousands of genes. Several challenges exist in successfully utilizing this biotechnology; principal among these is analysis of microarray data. An experiment to measure differential gene expression can consist of a dozen microarrays, each consisting of over a hundred thousand data points. Previously, we have described the use of a novel algorithm for analyzing oligonucleotide microarrays and assessing changes in gene expression. This algorithm describes changes in expression in terms of the statistical significance (S-score) of change, which combines signals detected by multiple probe pairs according to an error model characteristic of oligonucleotide arrays. Software is available that simplifies the use of the application of this algorithm so that it may be applied to improving the analysis of oligonucleotide microarray data. The application of this method to problems of the central nervous system is discussed.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9426302
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Dec
pubmed:issn	1046-2023
pubmed:author	pubmed-author:KernsRobnet TRT, pubmed-author:MilesMichael FMF, pubmed-author:ZhangLiL
pubmed:issnType	Print
pubmed:volume	31
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	274-81
pubmed:dateRevised	2006-11-15
pubmed:meshHeading	pubmed-meshheading:14597311-Algorithms, pubmed-meshheading:14597311-Animals, pubmed-meshheading:14597311-Brain Chemistry, pubmed-meshheading:14597311-Mice, pubmed-meshheading:14597311-Oligonucleotide Array Sequence Analysis
pubmed:year	2003
pubmed:articleTitle	Application of the S-score algorithm for analysis of oligonucleotide microarrays.
pubmed:affiliation	Departments of Pharmacology/Toxicology and Neurology, Virginia Commonwealth University, P.O. Box 980599, 1217 E. Marshall St., Rm. 630, Richmond, VA 23298, USA.
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.