ISSN:
1546-1718
Source:
Nature Archives 1869 - 2009
Topics:
Biology
,
Medicine
Notes:
[Auszug] A growing variety of statistical analysis approaches are available to identify groups of genes that share common expression patterns; however, the interpretation of the biological characteristics of genes in such clusters remains primarily a manual task. We have developed a data-mining method that ...
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1038/87204
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