2004Unpublished venueRequires access

DNA microarray data preprocessing

Sampsa Hautaniemi, Antti Lehmussola, Olli Yli‐Harja

Open publisher page 4 citations

Abstract

Microarray technology is an essential part of modern biomedical research. At the moment, the most widely utilized microarray platform in academic biomedical research is DNA microarray due to its flexibility and low costs. One of the biggest drawback of the DNA microarray technology is high variation in data quality. Thus, in order to obtain reliable results, sophisticated image analysis and extensive preprocessing steps should be applied before actual microarray data analysis can take place. In this study we highlight some essential microarray preprocessing steps.

About this research paper

What this paper is about

Microarray technology is an essential part of modern biomedical research. At the moment, the most widely utilized microarray platform in academic biomedical research is DNA microarray due to its flexibility and low costs. One of the biggest drawback of the DNA microarray technology is high variation in data quality. Thus, in order to obtain reliable results, sophisticated image analysis and extensive preprocessing steps should be applied before actual microarray data analysis can take place. In this study we highlight some essential microarray preprocessing steps.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Microarray technology is an essential part of modern biomedical research. At the moment, the most widely utilized microarray platform in academic biomedical research is DNA microarray due to its flexibility and low costs. One of the biggest drawback of the DNA microarray technology is high variation in data quality. Thus, in order to obtain reliable results, sophisticated image analysis and extensive preprocessing steps should be applied before actual microarray data analysis can take place. In this study we highlight some essential microarray preprocessing steps.

Key concepts: Preprocessor, Microarray analysis techniques, Computer science, Microarray, Flexibility (engineering), Gene chip analysis, Microarray databases, Data pre-processing

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