Linked Life Data

18256813

Source:http://linkedlifedata.com/resource/pubmed/id/18256813

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-5-23
pubmed:abstractText
The aim of this work was to obtain the correct classification of a set of two-dimensional polyacrylamide gel electrophoresis map images using the Zernike moments as discriminant variables. For each 2D-PAGE image, the Zernike moments were computed up to a maximum p order of 100. Partial least squares discriminant analysis with variable selection, based on a backward elimination algorithm, was applied to the moments calculated in order to select those that provided the lowest error in cross-validation. The new method was tested on four datasets: (1) samples belonging to neuroblastoma; (2) samples of human lymphoma; (3) samples from pancreatic cancer cells (two cell lines of control and drug-treated cancer cells); (4) samples from colon cancer cells (total lysates and nuclei treated or untreated with a histone deacetylase inhibitor). The results demonstrate that the Zernike moments can be successfully applied for fast classification purposes. The final aim is to build models that can be used to achieve rapid diagnosis of these illnesses.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1618-2650
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
391
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1163-73
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
A new method of comparing 2D-PAGE maps based on the computation of Zernike moments and multivariate statistical tools.
pubmed:affiliation
Department of Environmental and Life Sciences, University of Eastern Piedmont, Via Bellini 25/G, 15100, Alessandria, Italy. marengoe@tin.it
pubmed:publicationType
Journal Article, Comparative Study