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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Detalles Bibliográficos
Autores principales: Ptitsyn, Andrey, Hulver, Matthew, Cefalu, William, York, David, Smith, Steven R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1770922/
https://www.ncbi.nlm.nih.gov/pubmed/17178004
http://dx.doi.org/10.1186/1471-2164-7-318

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1770922/
https://www.ncbi.nlm.nih.gov/pubmed/17178004
http://dx.doi.org/10.1186/1471-2164-7-318

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