Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-6-13
pubmed:abstractText
Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, faithful visualization methods are beneficial for revealing interesting gene expression patterns and functional relationships of coexpressed genes. Such screening helps to gain deeper insights into regulatory behavior and cellular responses, as will be discussed for expression data of developing barley endosperm tissue. For that purpose, high-throughput multidimensional scaling (HiT-MDS), a recent method for similarity-preserving data embedding, is substantially refined and used for (a) assessing the quality and reliability of centroid gene expression patterns, and for (b) derivation of functional relationships of coexpressed genes of endosperm tissue during barley grain development (0-26 days after flowering).
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-11590094, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-12045268, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-12196633, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-12824345, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-15509613, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-15918880, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-16159914, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-16771774, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-16824223, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-16895928, http://linkedlifedata.com/resource/pubmed/commentcorrection/17519012-9843981
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1471-2105
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
8
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
165
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue.
pubmed:affiliation
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany. stricker@ipk-gatersleben.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't