Accurate prediction of single-cell DNA methylation states using deep learning

Christof Angermueller; Heather J. Lee; Wolf Reik; Oliver Stegle

doi:10.1101/055715

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Accurate prediction of single-cell DNA methylation states using deep learning

View ORCID ProfileChristof Angermueller, View ORCID ProfileHeather J. Lee, View ORCID ProfileWolf Reik, View ORCID ProfileOliver Stegle

doi: https://doi.org/10.1101/055715

Christof Angermueller

1European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK

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ORCID record for Christof Angermueller

Heather J. Lee

2Epigenetics Programme, Babraham Institute, Cambridge, UK

3Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK

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ORCID record for Heather J. Lee

Wolf Reik

2Epigenetics Programme, Babraham Institute, Cambridge, UK

3Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK

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Oliver Stegle

1European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK

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ORCID record for Oliver Stegle

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Posted February 01, 2017.

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Accurate prediction of single-cell DNA methylation states using deep learning

Christof Angermueller, Heather J. Lee, Wolf Reik, Oliver Stegle

bioRxiv 055715; doi: https://doi.org/10.1101/055715

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Accurate prediction of single-cell DNA methylation states using deep learning

Christof Angermueller, Heather J. Lee, Wolf Reik, Oliver Stegle

bioRxiv 055715; doi: https://doi.org/10.1101/055715

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