Using epigenomics data to predict gene expression in lung cancer

@inproceedings{Li2015UsingED,
  title={Using epigenomics data to predict gene expression in lung cancer},
  author={Jeffery Li and Travers Ching and Sijia Huang and Lana X. Garmire},
  booktitle={BMC Bioinformatics},
  year={2015}
}
Epigenetic alterations are known to correlate with changes in gene expression among various diseases including cancers. However, quantitative models that accurately predict the up or down regulation of gene expression are currently lacking. A new machine learning-based method of gene expression prediction is developed in the context of lung cancer. This method uses the Illumina Infinium HumanMethylation450K Beadchip CpG methylation array data from paired lung cancer and adjacent normal tissues… CONTINUE READING
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