Computational analysis of microarray data.

J Quackenbush

doi:10.1038/35076576

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Computational analysis of microarray data.

J Quackenbush

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Abstract

Microarray experiments are providing unprecedented quantities of genome-wide data on gene-expression patterns. Although this technique has been enthusiastically developed and applied in many biological contexts, the management and analysis of the millions of data points that result from these experiments has received less attention. Sophisticated computational tools are available, but the methods that are used to analyse the data can have a profound influence on the interpretation of the results. A basic understanding of these computational tools is therefore required for optimal experimental design and meaningful data analysis.

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Algorithms Computational Biology DNA Probes Data Collection Gene Expression Profiling Oligonucleotide Array Sequence Analysis Journal Article Research Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.Review

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J Quackenbush. 2001. Computational analysis of microarray data.. https://doi.org/10.1038/35076576

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