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The changing focus of microarray analysis

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  • Nicola J. Armstrong

Abstract

In the biological sciences, the advent of microarray technology changed the way experiments were performed. Microarrays were the first mainstream high‐throughput technology, generating enormous amounts of data for both the biologist and the statistician to understand. Here, I follow my own experience in microarray analysis, starting during my time at EURANDOM with experimental design and continuing today in my present position at the Netherlands Cancer Institute where the exploitation of data from many different sources is hoped will give greater insight into different aspects of cancer.

Suggested Citation

  • Nicola J. Armstrong, 2008. "The changing focus of microarray analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(3), pages 364-373, August.
    • Handle: RePEc:bla:stanee:v:62:y:2008:i:3:p:364-373
    DOI: 10.1111/j.1467-9574.2008.00399.x
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    1. Smyth Gordon K, 2004. "Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 3(1), pages 1-28, February.
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