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Diving deeper to predict noncoding sequence function

Nature Methods volume 12, pages 925–926 (2015)Cite this article

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The deep learning–based method DeepSEA predicts the molecular function of noncoding DNA polymorphisms.

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Figure 1: Predicting local regulatory-element states from DNA sequence.

Kim Caesar/Nature Publishing Group

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Author information

Authors and Affiliations

  1. Barbara E. Engelhardt is at the Department of Computer Science, Center for Statistics and Machine Learning, Princeton University, Princeton, New Jersey, USA.,

    Barbara E Engelhardt

  2. Christopher D. Brown is at the Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,

    Christopher D Brown

Authors
  1. Barbara E Engelhardt
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  2. Christopher D Brown
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Correspondence to Barbara E Engelhardt or Christopher D Brown.

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The authors declare no competing financial interests.

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Engelhardt, B., Brown, C. Diving deeper to predict noncoding sequence function. Nat Methods 12, 925–926 (2015). https://doi.org/10.1038/nmeth.3604

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