HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteristics
<p>Abstract</p> <p>Background</p> <p>Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining sample-gene heatmaps and sample characteristics. This method is not...
Main Authors: | Moorhouse Michael J, Horsman Sebastiaan, Delwel Ruud, Bijl Maarten A, Sanders Mathijs A, Verhaak Roel GW, van der Spek Peter J, Löwenberg Bob, Valk Peter JM |
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Format: | Article |
Language: | English |
Published: |
BMC
2006-07-01
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Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/7/337 |
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