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

Huska, Matthew

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

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

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-82D7-A Version Permalink: https://hdl.handle.net/21.11116/0000-0001-4344-7

Genre: Thesis

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Huska, Matthew^{1, 2}, Author

Affiliations:
1IMPRS 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, ou_1479666
2FU Berlin, ou_persistent22

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Dates: Accepted: 2017-12-15Published Online: 2017

Publication Status: Published online

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Publishing info: Berlin : Freie Universität

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Degree: PhD

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