Citing Articles--Full Record

Article 8 of 244

The analysis of microarray data
Hariharan R
PHARMACOGENOMICS

4 (4): 477-497 JUL 2003

Document type: Article

Language: English

Cited References: 29

Times Cited: 0

Abstract:
This article describes issues, techniques and algorithms for analyzing data from microarray experiments. Each such experiment generates a large amount of data, only a fraction of which comprises significant differentially expressed genes. The precise identification of these interesting genes is heavily dependent not only on the statistical data analysis techniques used but also on the accuracy of the previous oligonucleotide probe design and image analysis steps as well. Indeed, wrong decisions in these steps can multiply the number of false positives by many-fold, thus necessitating a careful choice of algorithms in all three steps. These steps are described here and placed in the context of commercial and public tools available for the analysis of microarray data.

Author Keywords:
gene expression, image analysis, microarrays, oligonucleotide probe design, statistical data analysis

KeyWords Plus:
GENE-EXPRESSION, NORMALIZATION, STABILITY, VARIANCE, SEQUENCE

Addresses:
Hariharan R, Strand Genom Private Ltd, Bangalore 560080, Karnataka, India
Strand Genom Private Ltd, Bangalore 560080, Karnataka, India
Indian Inst Sci, Bangalore 560080, Karnataka, India

Publisher:
ASHLEY PUBLICATIONS LTD, LONDON

IDS Number:
700CT

ISSN:
1462-2416

Article 8 of 244

Acceptable Use Policy