Linked Life Data

16794863

Source:http://linkedlifedata.com/resource/pubmed/id/16794863

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2006-7-21
pubmed:abstractText
In gene expression analyses using a high-density oligonucleotide array in a rat ischemia model, two comparison methods, "pair-wise comparison" and "sample average comparison", were evaluated based on statistical methods. The reliability of the elements screened with a 1.2 to 10-fold threshold was also evaluated. In pair-wise comparisons, most of the elements were significantly independent of the threshold value, with the percentage of significant elements remaining above 95%, when screened at 2.5-fold or higher threshold value. Pair-wise comparison structurally provided strict screening, which resulted in genes that were not selected despite significant alterations in expression. Screening by "sample average comparison" resulted in elements with low probability of significance, which suggested the necessity for increasing the reliability by additional statistical analyses after screening. When genes with altered expression were screened using an oligonucleotide array, marked differences in the numbers and reliability were proved to exist among elements screened by each sample comparison method.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0364-3190
pubmed:author
pubmed:issnType
Print
pubmed:volume
31
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
735-40
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Statistical validation of two sample comparison methods for oligonucleotide microarray in rat ischemia model.
pubmed:affiliation
Division of Genomic Epidemiology and Clinical Trials, Advanced Medical Research Center, Nihon University School of Medicine, Oyaguchi-Kami Machi, Tokyo 173-8610, Japan.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't, Validation Studies