Linked Life Data

14698787

Source:http://linkedlifedata.com/resource/pubmed/id/14698787

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2003-12-30
pubmed:abstractText
Graphical techniques provide simple methods for the analysis of data from tracer studies. They provide considerable ease of computation compared to the optimization of individual model parameters in the solution of the differential equations generally used to describe the binding of tracers. The theoretical work of Patlak which was applied to irreversible tracers formed the basis for extensions of graphical techniques to reversibly binding tracers. The advantage of graphical methods is that they are not dependent upon a particular model structure but provide a measure of tracer binding that can be interpreted in terms of a model structure if desired. They provide a visual way to distinguish the type of binding whether reversible or irreversible in the initial studies of new ligands. Conditions under which the graphical techniques can be applied are considered as well as problems encountered with slow binding components. One problem in the use of these methods particularly the method for reversible tracers is the bias generated due to the presence of statistical noise. Some recently proposed techniques for reducing the noise are considered.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0969-8051
pubmed:author
pubmed:issnType
Print
pubmed:volume
30
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
833-44
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
A review of graphical methods for tracer studies and strategies to reduce bias.
pubmed:affiliation
Chemistry Department, Brookhaven National Laboratory, Upton, NY 11973, USA. jlogan@bnl.gov
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S., Review