Linked Life Data

18931512

Source:http://linkedlifedata.com/resource/pubmed/id/18931512

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-11-13
pubmed:abstractText
This paper aims to describe the benefits of using data recoding methods for the analysis of genetic interactions. By changing the representation of the input data it is possible to model non-additive genetic effects in association analysis software, which has been primarily designed to analyse only additive genetic effects. Similar treatment can be applied also for general-purpose statistical search algorithms available in general statistical packages. Data recoding is illustrated for several interaction models using hypothetical examples and by presenting gene-gene interaction analysis in a real cystic fibrosis dataset using the BAMA software.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1423-0062
pubmed:author
pubmed:copyrightInfo
Copyright 2008 S. Karger AG, Basel.
pubmed:issnType
Electronic
pubmed:volume
67
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
69-75
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Detecting interactions in association studies by using simple allele recoding.
pubmed:affiliation
Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland. mjs@rni.helsinki.fi
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't