A review of statistical methods for preprocessing oligonucleotide microarrays.
Microarrays have become an indispensable tool in biomedical research. This powerful technology not only makes it possible to quantify a large number of nucleic acid molecules simultaneously, but also produces data with many sources of noise. A number of preprocessing steps are therefore necessary to...
| Publicado en: | Statistical Methods in Medical Research Vol. 18; no. 6; pp. 533 - 542 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Sage Publications Inc.
Dec2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105277339&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105277339 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09622802 31F jtl: Statistical Methods in Medical Research issn: 09622802 maglogo: Y pubinfo: dt: Dec2009 vid: 18 iid: 6 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 105277339 NLM20048383 2010519330 10.1177/0962280209351924 NLM20048383 PMC3152825 105277339 ppf: 533 ppct: 9 formats: tig: atl: A review of statistical methods for preprocessing oligonucleotide microarrays. aug: au: Wu Z Wu, Zhijin affil: Center for Statistical Sciences and Department of Community Health, Brown University, RI 02912, USA sug: subj: Biometrics Methods Bioinformatics Methods Biochips Statistics and Numerical Data Algorithms Data Analysis, Statistical Human ab: Microarrays have become an indispensable tool in biomedical research. This powerful technology not only makes it possible to quantify a large number of nucleic acid molecules simultaneously, but also produces data with many sources of noise. A number of preprocessing steps are therefore necessary to convert the raw data, usually in the form of hybridisation images, to measures of biological meaning that can be used in further statistical analysis. Preprocessing of oligonucleotide arrays includes image processing, background adjustment, data normalisation/transformation and sometimes summarisation when multiple probes are used to target one genomic unit. In this article, we review the issues encountered in each preprocessing step and introduce the statistical models and methods in preprocessing. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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