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Unsupervised clustering of gene expression data points at hypoxia as possible trigger for metabolic syndrome
BACKGROUND: Classification of large volumes of data produced in a microarray experiment allows for the extraction of important clues as to the nature of a disease. RESULTS: Using multi-dimensional unsupervised FOREL (FORmal ELement) algorithm we have re-analyzed three public datasets of skeletal mus...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1770922/ https://ncbi.nlm.nih.gov/pubmed/17178004 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-7-318 |
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