Improving and Validating Data-driven Genotypic Interpretation Systems for the 
Selection of Antiretroviral Therapies

Pironti, Alejandro

doi:10.22028/D291-26681

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Improving and Validating Data-driven Genotypic Interpretation Systems for the Selection of Antiretroviral Therapies

Pironti, A. (2016). Improving and Validating Data-driven Genotypic Interpretation Systems for the Selection of Antiretroviral Therapies. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-26681.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-30D5-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-79A8-F

Genre: Thesis

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http://scidok.sulb.uni-saarland.de/volltexte/2016/6719/ (Any fulltext) Open Access Green

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http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de (Copyright transfer agreement) Open Access status unknown

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Creators:
Pironti, Alejandro^{1, 2}, Author
Lengauer, Thomas¹, Advisor
Lenhof, Hans-Peter³, 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: Accepted: 2016-12-07Published Online: 2016Date issued: 2016

Publication Status: Issued

Pages: x, 272 p.

Publishing info: Saarbrücken : Universität des Saarlandes

Table of Contents: -

Rev. Type: -

Identifiers: BibTex Citekey: Pirontiphd16
URN: urn:nbn:de:bsz:291-scidok-67190
DOI: 10.22028/D291-26681
Other: hdl:20.500.11880/26737

Degree: PhD

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