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Multi-scale deep tensor factorization learns a latent representation of the human epigenome

Jacob Schreiber, Timothy Durham, Jeffrey Bilmes, William Stafford Noble
doi: https://doi.org/10.1101/364976
Jacob Schreiber
1Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA
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Timothy Durham
2Department of Genome Sciences, University of Washington, Seattle, USA
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Jeffrey Bilmes
1Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA
3Department of Electrical Engineering, University of Washington, Seattle, USA
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William Stafford Noble
1Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, USA
2Department of Genome Sciences, University of Washington, Seattle, USA
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  • For correspondence: wnoble@uw.edu
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Posted April 11, 2019.
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Multi-scale deep tensor factorization learns a latent representation of the human epigenome
Jacob Schreiber, Timothy Durham, Jeffrey Bilmes, William Stafford Noble
bioRxiv 364976; doi: https://doi.org/10.1101/364976
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Multi-scale deep tensor factorization learns a latent representation of the human epigenome
Jacob Schreiber, Timothy Durham, Jeffrey Bilmes, William Stafford Noble
bioRxiv 364976; doi: https://doi.org/10.1101/364976

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