Unsupervised clustering of gene expression data points at hypoxia as possible trigger for metabolic syndrome

@article{Ptitsyn2006UnsupervisedCO,
  title={Unsupervised clustering of gene expression data points at hypoxia as possible trigger for metabolic syndrome},
  author={Andrey A. Ptitsyn and Matthew W Hulver and William T. Cefalu and David A. York and Steven R. Smith},
  journal={BMC Genomics},
  year={2006},
  volume={7},
  pages={318 - 318}
}
BackgroundClassification of large volumes of data produced in a microarray experiment allows for the extraction of important clues as to the nature of a disease.ResultsUsing multi-dimensional unsupervised FOREL (FORmal ELement) algorithm we have re-analyzed three public datasets of skeletal muscle gene expression in connection with insulin resistance and type 2 diabetes (DM2). Our analysis revealed the major line of variation between expression profiles of normal, insulin resistant, and… CONTINUE READING
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