HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteristics

BACKGROUND: 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 individual samples or groups of...

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Bibliographic Details
Main Authors: Verhaak, Roel GW, Sanders, Mathijs A, Bijl, Maarten A, Delwel, Ruud, Horsman, Sebastiaan, Moorhouse, Michael J, van der Spek, Peter J, Löwenberg, Bob, Valk, Peter JM
Format: Artigo
Language:Inglês
Published: BioMed Central 2006
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Software
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC1574351/
https://ncbi.nlm.nih.gov/pubmed/16836741
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-337
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