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[Microarray data analysis].

Authors: Rehannah H A, Borup; Claudio, Csillag; Ole Haagen, Nielsen; Finn Cilius, Nielsen;

[Microarray data analysis].

Abstract

Microarrays might be used for future diagnostic and prognostic purposes. High-density oligonucleotide arrays are promising in this respect. The microarray data consist of intensity files, which are transformed into expression matrices by the application of several mathematical modifications. However, pitfalls regarding data analysis seem to be a critical factor for the impact of this new technology. This article focuses on the data analysis, from raw data file to marker gene lists used to retrieve knowledge about underlying biological processes.

Keywords

Gene Expression Profiling, Neoplasms, Humans, Microarray Analysis, Prognosis, Oligonucleotide Array Sequence Analysis

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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