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Normalization method for metabolomics data using optimal selection of multiple internal standards

<p>Abstract</p> <p>Background</p> <p>Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific sources of variability such as systematic error is therefore one of...

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主要な著者: Yetukuri Laxman, Katajamaa Mikko, Sysi-Aho Marko, Orešič Matej
フォーマット: Artigo
言語:Inglês
出版事項: BMC 2007-03-01
シリーズ:BMC Bioinformatics
オンライン・アクセス:http://www.biomedcentral.com/1471-2105/8/93
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