TITLE

A review of statistical methods for preprocessing oligonucleotide microarrays

AUTHOR(S)
Zhijin Wu
PUB. DATE
December 2009
SOURCE
Statistical Methods in Medical Research;Dec2009, Vol. 18 Issue 6, p533
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
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.
ACCESSION #
47332472

 

Related Articles

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics