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Hybrid clustering for microarray image analysis combining intensity and shape features
BACKGROUND: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identified. Then, those target areas have to be partitioned into foreground and background. Finally, two scalar values for the i...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2004
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC434489/ https://www.ncbi.nlm.nih.gov/pubmed/15117421 http://dx.doi.org/10.1186/1471-2105-5-47 |