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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)
Description:
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OA-Status:
Green

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 Creators:
Scherer, Michael1, 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: 20202021-03-3020212021
 Publication Status: Issued
 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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