Internal standard-based analysis of microarray data. Part 1: Analysis of differential gene expressions

Igor Dozmorov, Ivan Lefkovits

Research output: Contribution to journalArticle

29 Scopus citations

Abstract

Genome-scale microarray experiments for comparative analysis of gene expressions produce massive amounts of information. Traditional statistical approaches fail to achieve the required accuracy in sensitivity and specificity of the analysis. Since the problem can be resolved neither by increasing the number of replicates nor by manipulating thresholds, one needs a novel approach to the analysis. This article describes methods to improve the power of microarray analyses by defining internal standards to characterize features of the biological system being studied and the technological processes underlying the microarray experiments. Applying these methods, internal standards are identified and then the obtained parameters are used to define (i) genes that are distinct in their expression from background; (ii) genes that are differentially expressed; and finally (iii) genes that have similar dynamical behavior.

Original languageEnglish (US)
Pages (from-to)6323-6339
Number of pages17
JournalNucleic acids research
Volume37
Issue number19
DOIs
StatePublished - Nov 16 2009

    Fingerprint

ASJC Scopus subject areas

  • Genetics

Cite this