Linked Life Data

16951291

Source:http://linkedlifedata.com/resource/pubmed/id/16951291

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
21
pubmed:dateCreated
2006-10-25
pubmed:abstractText
The systematic integration of expression profiles and other types of gene information, such as chromosomal localization, ontological annotations and sequence characteristics, still represents a challenge in the gene expression arena. In particular, the analysis of transcriptional data in context of the physical location of genes in a genome appears promising in detecting chromosomal regions with transcriptional imbalances often characterizing cancer.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2658-66
pubmed:dateRevised
2009-11-4
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
A locally adaptive statistical procedure (LAP) to identify differentially expressed chromosomal regions.
pubmed:affiliation
Department of Chemical Process Engineering, University of Padua Via Marzolo 9, I-35131 Padua, Italy.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies