Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues

@article{Ernst2015LargescaleIO,
  title={Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues},
  author={Jason Ernst and Manolis Kellis},
  journal={Nature Biotechnology},
  year={2015},
  volume={33},
  pages={364-376}
}
With hundreds of epigenomic maps, the opportunity arises to exploit the correlated nature of epigenetic signals, across both marks and samples, for large-scale prediction of additional datasets. Here, we undertake epigenome imputation by leveraging such correlations through an ensemble of regression trees. We impute 4,315 high-resolution signal maps, of which 26% are also experimentally observed. Imputed signal tracks show overall similarity to observed signals and surpass experimental datasets… CONTINUE READING

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