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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1574351/ https://www.ncbi.nlm.nih.gov/pubmed/16836741 http://dx.doi.org/10.1186/1471-2105-7-337 |