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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 optimal for comparing individ...

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Bibliografski detalji
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: BMC 2006-07-01
Serija:BMC Bioinformatics
Online pristup:http://www.biomedcentral.com/1471-2105/7/337
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