Microarray-dataanalyse

Rehannah H.A. Borup; Claudio Csillag; Ole Haagen Nielsen; Finn Cilius Nielsen

Microarray-dataanalyse

Rehannah H.A. Borup^*, Claudio Csillag, Ole Haagen Nielsen, Finn Cilius Nielsen

^*Corresponding author af dette arbejde

Institut for Klinisk Medicin

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.

Bidragets oversatte titel	Microarray data analysis
Originalsprog	Dansk
Tidsskrift	Ugeskrift for Laeger
Vol/bind	168
Udgave nummer	22
Sider (fra-til)	2159-2162
Antal sider	4
ISSN	0041-5782
Status	Udgivet - 29 maj 2006

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Link to publication in Scopus

Citationsformater

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AU - Borup, Rehannah H.A.

AU - Csillag, Claudio

AU - Nielsen, Ole Haagen

AU - Nielsen, Finn Cilius

PY - 2006/5/29

Y1 - 2006/5/29

N2 - 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.

AB - 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.

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AN - SCOPUS:33744504166

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Microarray-dataanalyse

Abstract

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