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Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments
BACKGROUND: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage of the fact that time is a continuous variable, and existing clustering methods often group biologically unrelated genes t...
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1127068/ https://www.ncbi.nlm.nih.gov/pubmed/15850479 http://dx.doi.org/10.1186/1471-2105-6-106 |