Statistical significance for hierarchical clustering in genetic association and microarray expression studies
<p>Abstract</p> <p>Background</p> <p>With the increasing amount of data generated in molecular genetics laboratories, it is often difficult to make sense of results because of the vast number of different outcomes or variables studied. Examples include expression levels...
Main Authors: | Yang Yaning, Levenstien Mark A, Ott Jürg |
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Format: | Article |
Language: | English |
Published: |
BMC
2003-12-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/4/62 |
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