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November 2010 The EM Algorithm and the Rise of Computational Biology
Xiaodan Fan, Yuan Yuan, Jun S. Liu
Statist. Sci. 25(4): 476-491 (November 2010). DOI: 10.1214/09-STS312

Abstract

In the past decade computational biology has grown from a cottage industry with a handful of researchers to an attractive interdisciplinary field, catching the attention and imagination of many quantitatively-minded scientists. Of interest to us is the key role played by the EM algorithm during this transformation. We survey the use of the EM algorithm in a few important computational biology problems surrounding the “central dogma” of molecular biology: from DNA to RNA and then to proteins. Topics of this article include sequence motif discovery, protein sequence alignment, population genetics, evolutionary models and mRNA expression microarray data analysis.

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Xiaodan Fan. Yuan Yuan. Jun S. Liu. "The EM Algorithm and the Rise of Computational Biology." Statist. Sci. 25 (4) 476 - 491, November 2010. https://doi.org/10.1214/09-STS312

Information

Published: November 2010
First available in Project Euclid: 14 March 2011

zbMATH: 1329.92013
MathSciNet: MR2807765
Digital Object Identifier: 10.1214/09-STS312

Rights: Copyright © 2010 Institute of Mathematical Statistics

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Vol.25 • No. 4 • November 2010
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