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MPI-INF D3 Publications, generated: 17:27, 23 September 2019

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Your search returned the following 12 documents:

  1. Martin Obermeier, Alejandro Pironti, Thomas Berg, Patrick Braun, Martin Däumer, Josef Eberle, Robert Ehret, Rolf Kaiser, Niels Kleinkauf, Klaus Korn, Claudia Kücherer, Harm Müller, Christian Noah, Martin Stürmer, Alexander Thielen, Eva Wolf, and Hauke Walter
    HIV-GRADE: A Publicly Available, Rules-Based Drug Resistance Interpretation Algorithm Integrating Bioinformatic Knowledge
    Intervirology 55: 102-107, 2012
  2. Tobias Sing, Valentina Svicher, Niko Beerenwinkel, Francesca Ceccherini-Silberstein, Martin Däumer, Rolf Kaiser, Hauke Walter, Klaus Korn, Daniel Hoffmann, Mark Oette, Jürgen K. Rockstroh, Gerd Fätkenheuer, Carlo-Federico Perno, and Thomas Lengauer
    Characterization of novel HIV Drug Resistance Mutations using clustering, multidimensional scaling and SVM-based feature ranking
    In: Knowledge Discovery in Databases: PKDD 2005., Porto, Portugal, 2005, 285-296
  3. Niko Beerenwinkel, Tobias Sing, Thomas Lengauer, Jörg Rahnenführer, Kirsten Roomp, Igor Savenkov, Roman Fischer, Daniel Hoffmann, Joachim Selbig, Klaus Korn, Hauke Walter, Thomas Berg, Patrick Braun, Gerd Fätkenheuer, Mark Oette, Jürgen Rockstroh, Bernd Kupfer, Rolf Kaiser, and Martin Däumer
    Computational methods for the design of effective therapies against drug resistant HIV strains
    Bioinformatics 21 (21): 3943-3950, 2005
  4. Niko Beerenwinkel, Martin Däumer, Rolf Kaiser, Hauke Walter, Klaus Korn, Daniel Hoffmann, Joachim Selbig, and Thomas Lengauer
    Estimating effective drug combinations against drug-resistant mutants from genotypes
    In: Proceedings of the 1st European HIV Drug Resistamce Workshop, Luxembourg, March 6-8, 2003, 2003, 18-18
  5. Niko Beerenwinkel, Martin Däumer, Mark Oette, Klaus Korn, Daniel Hoffmann, Rolf Kaiser, Thomas Lengauer, Joachim Selbig, and Hauke Walter
    Geno2pheno: estimating phenotypic drug resistance from HIV-1 genotypes
    Nucleic Acids Research 31 (13): 3850-3855, 2003
  6. Niko Beerenwinkel, Thomas Lengauer, Martin Däumer, Rolf Kaiser, Hauke Walter, Klaus Korn, Daniel Hoffmann, and Joachim Selbig
    Methods for optimizing antiviral combination therapies
    Bioinformatics 19 (Supplement): i16-i25, 2003
  7. Katharina Wolf, Hauke Walter, Niko Beerenwinkel, Wilco Keulen, Rolf Kaiser, Daniel Hoffmann, Thomas Lengauer, Joachim Selbig, Anne-Mieke Vandamme, Klaus Korn, and Barbara Schmidt
    Tenofovir resistance and resensitization
    Antimicrobial Agents and Chemotherapy 47 (11): 3478-3484, 2003
  8. Niko Beerenwinkel, Barbara Schmidt, Hauke Walter, Rolf Kaiser, Thomas Lengauer, Daniel Hoffmann, Klaus Korn, and Joachim Selbig
    Diversity and complexity of HIV-1drug resistance: A bioinformatics approach to predicting phenotype from genotype
    Proceedings of the National Academy of Sciences 99 (12): 8271-8276, 2002
  9. Niko Beerenwinkel, Thomas Lengauer, Martin Däumer, S. Sierra, Barbara Schmidt, Hauke Walter, Klaus Korn, Mark Oette, Gerd Fätkenheuer, J. Rockstroh, Daniel Hoffmann, Rolf Kaiser, and Joachim Selbig
    Geno2pheno is predictive of short-term virological response
    In: Proceedings from the 5th International Workshop on HIV Drug Resistance & Treatment Strategies, Scotsdale, Arizona, 2002, 74-74, paper no. 89.
  10. Niko Beerenwinkel, Thomas Lengauer, Barbara Schmidt, Hauke Walter, Rolf Kaiser, Daniel Hoffmann, Klaus Korn, and Joachim Selbig
    Quantitative phenotype prediction by support vector machines
    In: Proceedings from the 5th International Workshop on HIV Drug resistance & Treatment Strategies, Scotsdale, Arizona, 2002, 97 p.
  11. Niko Beerenwinkel, Barbara Schmidt, Hauke Walter, Rolf Kaiser, Thomas Lengauer, Daniel Hoffmann, Klaus Korn, and Joachim Selbig
    Geno2pheno: A system for the interpretation of genotypic HIV Drug resistance tests
    IEEE Intelligent Systems 16 (6): 35-41, 2001
  12. Niko Beerenwinkel, Martin Däumer, Daniel Hoffmann, Rolf Kaiser, Klaus Korn, Thomas Lengauer, Barbara Schmidt, Hauke Walter, and Joachim Selbig
    Neue Wege zur Optimierung von Anti-HIV Therapien
    BIOforum 24 (12): 912-914, 2001