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Measuring similarities between gene expression profiles through new data transformations
BACKGROUND: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is critical to the analysis. In our study, we developed a new measure for clustering the genes when the key factor is the shape...
| Autores principales: | , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1804284/ https://www.ncbi.nlm.nih.gov/pubmed/17257435 http://dx.doi.org/10.1186/1471-2105-8-29 |