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  Differential Expression with the Bioconductor Project

von Heydebreck, A., Huber, W., & Gentleman, R. (2004). Differential Expression with the Bioconductor Project. Berkeley, CA: Berkeley Electronic Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-8830-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-8831-1
Genre: Other

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 Creators:
von Heydebreck, Anja1, Author
Huber, Wolfgang, Author
Gentleman, Robert, Author
Affiliations:
1Max Planck Society, ou_persistent13              

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 Abstract: A basic, yet challenging task in the analysis of microarray gene expression data is the identification of changes in gene expression that are associated with particular biological conditions. We discuss different approaches to this task and illustrate how they can be applied using software from the Bioconductor Project. A central problem is the high dimensionality of gene expression space, which prohibits a comprehensive statistical analysis without focusing on particular aspects of the joint distribution of the genes expression levels. Possible strategies are to do univariate gene-by-gene analysis, and to perform data-driven nonspecific filtering of genes before the actual statistical analysis. However, more focused strategies that make use of biologically relevant knowledge are more likely to increase our understanding of the data.

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Language(s): eng - English
 Dates: 2004-06-182004-06-18
 Publication Status: Published in print
 Pages: -
 Publishing info: Berkeley, CA : Berkeley Electronic Press
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 226554
 Degree: -

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