Bioinformatical Approaches to Ranking of anti-HIV Combination Therapies and 
Planning of Treatment Schedule

Altmann, André

doi:10.22028/D291-25993

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Bioinformatical Approaches to Ranking of anti-HIV Combination Therapies and Planning of Treatment Schedule

Altmann, A. (2010). Bioinformatical Approaches to Ranking of anti-HIV Combination Therapies and Planning of Treatment Schedule. PhD Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-146B-C Version Permalink: https://hdl.handle.net/21.11116/0000-000C-4660-9

Genre: Thesis

Latex : Bioinformatical Approaches to Ranking of anti-{HIV} Combination Therapies and Planning of Treatment Schedule

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http://scidok.sulb.uni-saarland.de/volltexte/2010/3213/ (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:
Altmann, André^{1, 2}, Author
Rahnenführer, Jörg¹, Referee
Lenhof, Hans-Peter³, Referee
Lengauer, Thomas¹, Advisor

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: Modified: 2011-02-17Accepted: 2010-06-08Date issued: 2010

Publication Status: Issued

Pages: -

Publishing info: Saarbrücken : Universität des Saarlandes

Table of Contents: -

Rev. Type: -

Identifiers: eDoc: 536657
Other: Local-ID: C125673F004B2D7B-141A5B192249AA0DC12578230059F631-Altmann2010
URN: urn:nbn:de:bsz:291-scidok-32135
DOI: 10.22028/D291-25993
Other: hdl:20.500.11880/26049

Degree: PhD

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