| pubmed-article:18410691 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C0026336 | lld:lifeskim |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C0206711 | lld:lifeskim |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C0028953 | lld:lifeskim |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C0017262 | lld:lifeskim |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C1826734 | lld:lifeskim |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C0936012 | lld:lifeskim |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C1709016 | lld:lifeskim |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C2911684 | lld:lifeskim |
| pubmed-article:18410691 | lifeskim:mentions | umls-concept:C0185117 | lld:lifeskim |
| pubmed-article:18410691 | pubmed:dateCreated | 2008-4-28 | lld:pubmed |
| pubmed-article:18410691 | pubmed:abstractText | Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The normalization algorithms generally require the specification of reference and target arrays. The issue of reference selection has not been fully addressed. Summarization aims to estimate the transcript abundance from normalized intensities. In this paper, we consider normalization and summarization jointly by a new strategy of reference selection. | lld:pubmed |
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| pubmed-article:18410691 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18410691 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:18410691 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18410691 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:18410691 | pubmed:issn | 1471-2105 | lld:pubmed |
| pubmed-article:18410691 | pubmed:author | pubmed-author:ChengChaoC | lld:pubmed |
| pubmed-article:18410691 | pubmed:author | pubmed-author:LiLei MLM | lld:pubmed |
| pubmed-article:18410691 | pubmed:author | pubmed-author:GeHuanyingH | lld:pubmed |
| pubmed-article:18410691 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:18410691 | pubmed:volume | 9 | lld:pubmed |
| pubmed-article:18410691 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18410691 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18410691 | pubmed:pagination | 194 | lld:pubmed |
| pubmed-article:18410691 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:meshHeading | pubmed-meshheading:18410691... | lld:pubmed |
| pubmed-article:18410691 | pubmed:year | 2008 | lld:pubmed |
| pubmed-article:18410691 | pubmed:articleTitle | A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays. | lld:pubmed |
| pubmed-article:18410691 | pubmed:affiliation | Molecular and Computational Biology, Department of Biology Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA. hge@usc.edu | lld:pubmed |
| pubmed-article:18410691 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:18410691 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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