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Auflistung nach Autor:in "Lengauer, Thomas"

1 - 5 von 5
  • Zeitschriftenartikel
    Bioinformatische Unterstützung der Auswahl von HIV-Therapien
    (Informatik-Spektrum: Vol. 32, No. 4, 2009) Lengauer, Thomas; Altmann, André; Thielen, Alexander
    AIDS ist eine der wesentlichen Bedrohungen für die Menschheit unter den heutigen Infektionskrankheiten. Die Krankheit verursacht weltweit Millionen Todesfälle jährlich.
  • Zeitschriftenartikel
    Cube-Connected Cycles - Shuffle Exchange Graph - Das aktuelle Schlagwort
    (Informatik Spektrum: Vol. 5, No. 3, 1982) Lengauer, Thomas
  • Konferenzbeitrag
    Functional evaluation of domain-domain interactions and human protein interaction networks
    (German Conference on Bioinformatics, 2006) Schlicker, Andreas; Huthmacher, Carola; Ramírez, Fidel; Lengauer, Thomas; Albrecht, Mario
    Large amounts of protein and domain interaction data are being produced by experimental high-throughput techniques and computational approaches. To gain insight into the value of the provided data, we used our new similarity measure based on the Gene Ontology to evaluate the molecular functions and biological processes of interacting proteins or domains. The applied measure particularly addresses the frequent annotation of proteins or domains with multiple Gene Ontology terms. Using our similarity measure, we compare predicted domain-domain and human protein-protein interactions with experimentally derived interactions. The results show that our similarity measure is of significant benefit in quality assessment and confidence ranking of domain and protein networks. We also derive useful confidence score thresholds for dividing domain interaction predictions into subsets of low and high confidence.
  • Textdokument
    Positionspapier: Was ist Informatik?
    (2006) Biundo, Susanne; Broy, Manfred; Claus, Volker; Coy, Wolfgang; Desel, Jörg; Dueck, Gunter; Glesner, Manfred; Soares Indrusiak, Leandro; Lengauer, Thomas; Ludewig, Ralf; Maas, Jörg; Mayr, Heinrich C.; Mertens, Peter; Rödiger, Karl-Heinz; Schubert, Sigrid; vor der Brück, Tim; Zimmer, Heiko
  • Konferenzbeitrag
    Semi-supervised learning for improving prediction of HIV drug resistance
    (German conference on bioinformatics 2009, 2009) Perner, Juliane; Altmann, André.; Lengauer, Thomas
    Resistance testing is an important tool in today's anti-HIV therapy management for improving the success of antiretroviral therapy. Routinely, the genetic sequence of viral target proteins is obtained. These sequences are then inspected for mutations that might confer resistance to antiretroviral drugs. However, interpretation of the genomic data is challenging. In recent years, approaches that employ supervised statistical learning methods were made available to assist the interpretation of the complex genetic information (e.g. geno2pheno and VircoTYPE). However, these methods rely on large amounts of labeled training data, which are expensive and labor-intensive to obtain. This work evaluates the application of semi-supervised learning (SSL) for improving the prediction of resistance from the viral genome.