• Corpus ID: 1631247

BioMM: Biologically-informed Multi-stage Machine learning for identification of epigenetic fingerprints

@article{Chen2017BioMMBM,
  title={BioMM: Biologically-informed Multi-stage Machine learning for identification of epigenetic fingerprints},
  author={Junfang Chen and Emanuel Schwarz},
  journal={arXiv: Quantitative Methods},
  year={2017}
}
The identification of reproducible biological patterns from high-dimensional data is a bottleneck for understanding the biology of complex illnesses such as schizophrenia. To address this, we developed a biologically informed, multi-stage machine learning (BioMM) framework. BioMM incorporates biological pathway information to stratify and aggregate high-dimensional biological data. We demonstrate the utility of this method using genome-wide DNA methylation data and show that it substantially… 
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