New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins

@article{Fabris2016NewKP,
  title={New KEGG pathway-based interpretable features for classifying ageing-related mouse proteins},
  author={F{\'a}bio Fabris and Alex Alves Freitas},
  journal={Bioinformatics},
  year={2016},
  volume={32 19},
  pages={2988-95}
}
MOTIVATION The incidence of ageing-related diseases has been constantly increasing in the last decades, raising the need for creating effective methods to analyze ageing-related protein data. These methods should have high predictive accuracy and be easily interpretable by ageing experts. To enable this, one needs interpretable classification models (supervised machine learning) and features with rich biological meaning. In this paper we propose two interpretable feature types based on Kyoto… CONTINUE READING
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