Resultados de procura - Enkelejda Miho

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  1. 1
    Large-scale network analysis reveals the sequence space architecture of antibody repertoires

    Large-scale network analysis reveals the sequence space architecture of antibody repertoires por Enkelejda Miho, Rok Roškar, Victor Greiff, Sai T. Reddy

    Publicado 2019
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  2. 2
    Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires

    Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires por Enkelejda Miho, Alexander Yermanos, Cédric R. Weber, Christoph T. Berger, Sai T. Reddy, Victor Greiff

    Publicado 2018
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  3. 3
    Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires

    Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires por Victor Greiff, Cédric R. Weber, Johannes Palme, Ulrich Bodenhofer, Enkelejda Miho, Ulrike Menzel, Sai T. Reddy

    Publicado 2017
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  4. 4
    Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires

    Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires por Alexander J. Brown, Igor Snapkov, Rahmad Akbar, Milena Pavlović, Enkelejda Miho, Geir Kjetil Sandve, Victor Greiff

    Publicado 2019
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  5. 5
    Comparison of methods for phylogenetic B-cell lineage inference using time-resolved antibody repertoire simulations (AbSim)

    Comparison of methods for phylogenetic B-cell lineage inference using time-resolved antibody repertoire simulations (AbSim) por Alexander Yermanos, Victor Greiff, Nike Julia Kräutler, Ulrike Menzel, Andreas Dounas, Enkelejda Miho, Annette Oxenius, Tanja Stadler, Sai T. Reddy

    Publicado 2017
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  6. 6
    The dengue-specific immune response and antibody identification with machine learning

    The dengue-specific immune response and antibody identification with machine learning por Eriberto Noel Natali, A. J. van der Horst, Patrick Meier, Victor Greiff, Mario Nuvolone, Lmar Babrak, Katja Fink, Enkelejda Miho

    Publicado 2024
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  7. 7
    Systems Analysis Reveals High Genetic and Antigen-Driven Predetermination of Antibody Repertoires throughout B Cell Development

    Systems Analysis Reveals High Genetic and Antigen-Driven Predetermination of Antibody Repertoires throughout B Cell Development por Victor Greiff, Ulrike Menzel, Enkelejda Miho, Cédric R. Weber, René Riedel, Skylar C. Cook, Atijeh Valai, Telma Lopes, Andreas Radbruch, Thomas Winkler, Sai T. Reddy

    Publicado 2017
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  8. 8
    Maturation of the Human Immunoglobulin Heavy Chain Repertoire With Age

    Maturation of the Human Immunoglobulin Heavy Chain Repertoire With Age por Marie Ghraichy, Jacob D. Galson, Aleksandr Kovaltsuk, Valentin von Niederhäusern, Jana Pachlopnik Schmid, Mike Recher, Annaïse Jauch, Enkelejda Miho, Dominic F. Kelly, Charlotte M. Deane, Johannes Trück

    Publicado 2020
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  9. 9
    Traditional and Digital Biomarkers: Two Worlds Apart?

    Traditional and Digital Biomarkers: Two Worlds Apart? por Lmar Babrak, Joseph P. Menetski, Michael Rebhan, Giovanni Nisato, Marc Zinggeler, Noé Brasier, Katja Baerenfaller, Thomas Brenzikofer, Laurenz Baltzer, Christian Vogler, Leo Gschwind, Cornelia Schneider, Fabian Streiff, Peter Groenen, Enkelejda Miho

    Publicado 2019
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  10. 10
    Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences

    Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences por Erand Smakaj, Lmar Babrak, Mats Ohlin, Mikhail Shugay, Bryan Briney, Deniz Tosoni, Christopher Galli, Vendi Grobelsek, I. D’Angelo, Branden J Olson, Sai T. Reddy, Victor Greiff, Johannes Trück, Susanna Marquez, William Lees, Enkelejda Miho

    Publicado 2019
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  11. 11
    A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding

    A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding por Rahmad Akbar, Philippe A. Robert, Milena Pavlović, Jeliazko R. Jeliazkov, Igor Snapkov, Andrei Slabodkin, Cédric R. Weber, Lonneke Scheffer, Enkelejda Miho, Ingrid Hobæk Haff, Dag Trygve Tryslew Haug, Fridtjof Lund‐Johansen, Yana Safonova, Geir Kjetil Sandve, Victor Greiff

    Publicado 2021
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  12. 12
    In silico proof of principle of machine learning-based antibody design at unconstrained scale

    In silico proof of principle of machine learning-based antibody design at unconstrained scale por Rahmad Akbar, Philippe A. Robert, Cédric R. Weber, Michael Widrich, Robert Frank, Milena Pavlović, Lonneke Scheffer, Maria Chernigovskaya, Igor Snapkov, Andrei Slabodkin, Brij Bhushan Mehta, Enkelejda Miho, Fridtjof Lund‐Johansen, Jan Terje Andersen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff

    Publicado 2022
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  13. 13
    Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction

    Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction por Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlović, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Jan Abram, Alex Olar, Enkelejda Miho, Dag Trygve Tryslew Haug, Fridtjof Lund‐Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff

    Publicado 2022
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