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...

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Publicado en:Statistical Methods in Medical Research Vol. 18; no. 6; pp. 533 - 542
Autores principales: Wu Z, Wu, Zhijin
Formato: research Journal Article
Publicado: Sage Publications Inc. Dec2009
Acceso en línea:Ver este registro en EBSCOhost
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        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
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