Comparative evaluation of microarray analysis software |
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| Authors: | Daniel K. Liu Bin Yao Brian Fayz David D. Womble Stephen A. Krawetz |
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| Affiliation: | (1) WSU-MCBI Bioinformatics Node, Center for Molecular Medicine and Genetics, USA;(2) Institute for Scientific Computing, USA;(3) Department of Obstetrics and Gynecology, Wayne State University School of Medicine, 48201 Detroit, MI |
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| Abstract: | ![]()
A wide variety of software tools are available to analyze microarray data. To identify the optimum software for any project, it is essential to define specific and essential criteria on which to evaluate the advantages of the key features. In this review we describe the results of our comparison of several software tools. We then conclude with a discussion of the subset of tools that are most commonly used and describe the features that would constitute the “ideal microarray analysis software suite.” |
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| Keywords: | Microarray software analysis comparison shareware |
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