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Using machine learning to predict and better understand DNA methylation and genomic enhancers

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Huska,  Matthew
IMPRS for Computational Biology and Scientific Computing - IMPRS-CBSC (Kirsten Kelleher), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;
FU Berlin;

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Huska, M. (2017). Using machine learning to predict and better understand DNA methylation and genomic enhancers. PhD Thesis.


Cite as: https://hdl.handle.net/21.11116/0000-0000-82D7-A
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