Computational solutions for addressing heterogeneity in DNA methylation data

Scherer, Michael

doi:10.22028/D291-33808

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Computational solutions for addressing heterogeneity in DNA methylation data

Scherer, M. (2021). Computational solutions for addressing heterogeneity in DNA methylation data. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-33808.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-BA18-C Version Permalink: https://hdl.handle.net/21.11116/0000-000C-7A83-7

Genre: Thesis

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https://publikationen.sulb.uni-saarland.de/handle/20.500.11880/31186 (Any fulltext) Open Access Green

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Creators:
Scherer, Michael^{1, 2}, Author
Lengauer, Thomas¹, Advisor
Walther, Jörn³, Referee
Marschall, Tobias¹, Referee

Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046
2International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551
3External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Submitted: 2020Accepted: 2021-03-30Published Online: 2021Published in Print: 2021

Publication Status: Published in print

Pages: 147 p.

Publishing info: Saarbrücken : Universität des Saarlandes

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: Schererphd2020
DOI: 10.22028/D291-33808
URN: urn:nbn:de:bsz:291--ds-338080
Other: hdl:20.500.11880/31186

Degree: PhD

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