Main Title |
Analysis of microarray gene expression data / |
Author |
Huber, Wolfgang.
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Other Authors |
|
Publisher |
[publisher not identified], |
Year Published |
2003 |
OCLC Number |
1428168404 |
Subjects |
DNA microarrays--Research ;
Genetics--Statistical methods ;
Linkage (Genetics)
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
ELBM |
QP624.5.D726H83 2003 |
|
AWBERC Library/Cincinnati,OH |
04/03/2024 |
|
Collation |
37 pages : illustrations ; 28 cm. |
Notes |
Chapter in Handbook of Statistical Genetics (2003) Includes bibliographical references (pages 32-37). |
Contents Notes |
This article reviews the methods utilized in processing and analysis of gene expression data generated using DNA microarrays. This type of experiment allows to determine relative levels of mRNA abundance in a set of tissues or cell populations for thousands of genes simultaneously. Naturally, such an experiment requires computational and statistical analysis techniques. At the outset of the processing pipeline, the computational procedures are largely determined by the technology and experimental setup that are used. Subsequently, as more reliable intensity values for genes emerge, pattern discovery methods come into play. The most striking peculiarity of this kind of data is that one usually obtains measurements for thousands of genes for only a much smaller number of conditions. This is at the root of several of the statistical questions discussed here. |