Briefings in Bioinformatics Advance Access published online on March 7, 2006
Briefings in Bioinformatics, doi:10.1093/bib/bbl002
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Array-based gene expression studies frequently serve to identify genes that are expressed differently under two or more conditions. The actual analysis of the data, however, may be hampered by a number of technical and statistical problems. Possible remedies on the level of computational analysis lie in appropriate preprocessing steps, proper normalization of the data and application of statistical testing procedures in the derivation of differentially expressed genes. This review summarizes methods that are available for these purposes and provides a brief overview of the available software tools. Christine Steinhoff is a postdoctoral scientist in the Computational Molecular Biology Department at the Max Planck Institute for Molecular Genetics in Berlin. Her research interest focuses on epigenetic gene regulatory mechanisms especially based on gene expression experimental approaches. Martin Vingron is the Director at the Max Planck Institute for Molecular Genetics in Berlin and Head of the Department for Computational Molecular Biology. His current research interest lies in utilizing gene expression data as well as evolutionary data for the elucidation of gene regulatory mechanisms.
Original Article
Normalization and quantification of differential expression in gene expression microarrays
Christine Steinhoff *
and
Martin Vingron
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