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Abstract: Large scale approaches, namely proteomics and transcriptomics, will play the most important role of the so-called post-genomics. These approaches allow experiments to measure the expression of thousands of genes from a cell in distinct time points. The analysis of this data can allow the the understanding of gene function and gene regulatory networks (Eisen et al., 1998). (Update)
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Costa, I. G., Comparative Analysis of Clustering Methods for Gene Expression Analysis, Master Dissertation, Centro de Informatica, Universidade Federal de Pernambuco, 2003. http://citeseer.ist.psu.edu/article/costafilho03comparative.html More
@misc{ costa03comparative,
author = "I. Costa",
title = "Comparative Analysis of Clustering Methods for Gene Expression Analysis",
text = "Costa, I. G., Comparative Analysis of Clustering Methods for Gene Expression
Analysis, Master Dissertation, Centro de Informatica, Universidade Federal
de Pernambuco, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/article/costafilho03comparative.html" }
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