| pubmed-article:15975223 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:15975223 | lifeskim:mentions | umls-concept:C0796344 | lld:lifeskim |
| pubmed-article:15975223 | lifeskim:mentions | umls-concept:C1709016 | lld:lifeskim |
| pubmed-article:15975223 | pubmed:issue | 2 | lld:pubmed |
| pubmed-article:15975223 | pubmed:dateCreated | 2005-6-24 | lld:pubmed |
| pubmed-article:15975223 | pubmed:abstractText | Gene expression can be studied at a genome-wide scale with the aid of modern microarray technologies. Expression profiling of tens to hundreds of individuals in a genetic population can reveal the consequences of genetic variation. In this paper it is argued that the design and analysis of such a study is not a matter of simply applying the existing and more-or-less standard computational tools for microarrays to a new type of experimental data. It is shown how to fully exploit the power of genetics through optimal experimental design and analysis for two major microarray technologies, cDNA two-colour arrays and Affymetrix short oligonucleotide arrays. | lld:pubmed |
| pubmed-article:15975223 | pubmed:language | eng | lld:pubmed |
| pubmed-article:15975223 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15975223 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:15975223 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:15975223 | pubmed:month | Jun | lld:pubmed |
| pubmed-article:15975223 | pubmed:issn | 1467-5463 | lld:pubmed |
| pubmed-article:15975223 | pubmed:author | pubmed-author:JansenRitsert... | lld:pubmed |
| pubmed-article:15975223 | pubmed:author | pubmed-author:FuJingyuanJ | lld:pubmed |
| pubmed-article:15975223 | pubmed:author | pubmed-author:SwertzMorris... | lld:pubmed |
| pubmed-article:15975223 | pubmed:author | pubmed-author:AlbertsRudiR | lld:pubmed |
| pubmed-article:15975223 | pubmed:author | pubmed-author:AlbersCasper... | lld:pubmed |
| pubmed-article:15975223 | pubmed:author | pubmed-author:LubbersL... | lld:pubmed |
| pubmed-article:15975223 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:15975223 | pubmed:volume | 6 | lld:pubmed |
| pubmed-article:15975223 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:15975223 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:15975223 | pubmed:pagination | 135-45 | lld:pubmed |
| pubmed-article:15975223 | pubmed:meshHeading | pubmed-meshheading:15975223... | lld:pubmed |
| pubmed-article:15975223 | pubmed:meshHeading | pubmed-meshheading:15975223... | lld:pubmed |
| pubmed-article:15975223 | pubmed:meshHeading | pubmed-meshheading:15975223... | lld:pubmed |
| pubmed-article:15975223 | pubmed:meshHeading | pubmed-meshheading:15975223... | lld:pubmed |
| pubmed-article:15975223 | pubmed:meshHeading | pubmed-meshheading:15975223... | lld:pubmed |
| pubmed-article:15975223 | pubmed:meshHeading | pubmed-meshheading:15975223... | lld:pubmed |
| pubmed-article:15975223 | pubmed:meshHeading | pubmed-meshheading:15975223... | lld:pubmed |
| pubmed-article:15975223 | pubmed:year | 2005 | lld:pubmed |
| pubmed-article:15975223 | pubmed:articleTitle | Combining microarrays and genetic analysis. | lld:pubmed |
| pubmed-article:15975223 | pubmed:affiliation | Groningen Bioinformatics Centre, University of Groningen, Kerklaan 30, 9751 NN, Haren, the Netherlands. | lld:pubmed |
| pubmed-article:15975223 | pubmed:publicationType | Journal Article | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:15975223 | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:15975223 | lld:pubmed |
