Søgeresultater - Victor Greiff

Refine Results
  1. 1
    Mining adaptive immune receptor repertoires for biological and clinical information using machine learning

    Mining adaptive immune receptor repertoires for biological and clinical information using machine learning af Victor Greiff, Gur Yaari, Lindsay G. Cowell

    Udgivet 2020
    Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  2. 2
    Immunoglobulin germline gene variation and its impact on human disease

    Immunoglobulin germline gene variation and its impact on human disease af Ivana Mikocziova, Victor Greiff, Ludvig M. Sollid

    Udgivet 2021
    Få fuldtekst Få fuldtekst
    Revisão
    Føj til favoritter
    Saved in:
  3. 3
    Large-scale network analysis reveals the sequence space architecture of antibody repertoires

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

    Udgivet 2019
    Få fuldtekst Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  4. 4
    The evolutionary and functional significance of germline immunoglobulin gene variation

    The evolutionary and functional significance of germline immunoglobulin gene variation af Matt Pennell, Oscar L. Rodriguez, Corey T. Watson, Victor Greiff

    Udgivet 2022
    Få fuldtekst
    Revisão
    Føj til favoritter
    Saved in:
  5. 5
    Best practices for machine learning in antibody discovery and development

    Best practices for machine learning in antibody discovery and development af Leonard Wossnig, Norbert Furtmann, Andrew Buchanan, Sandeep Kumar, Victor Greiff

    Udgivet 2024
    Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  6. 6
    A bioinformatic framework for immune repertoire diversity profiling enables detection of immunological status

    A bioinformatic framework for immune repertoire diversity profiling enables detection of immunological status af Victor Greiff, Pooja Bhat, Skylar C. Cook, Ulrike Menzel, Wenjing Kang, Sai T. Reddy

    Udgivet 2015
    Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  7. 7
    Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires

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

    Udgivet 2018
    Få fuldtekst Få fuldtekst
    Revisão
    Føj til favoritter
    Saved in:
  8. 8
    Animal Immunization, in Vitro Display Technologies, and Machine Learning for Antibody Discovery

    Animal Immunization, in Vitro Display Technologies, and Machine Learning for Antibody Discovery af Andreas H. Laustsen, Victor Greiff, Aneesh Karatt-Vellatt, Serge Muyldermans, Timothy P. Jenkins

    Udgivet 2021
    Få fuldtekst Få fuldtekst
    Revisão
    Føj til favoritter
    Saved in:
  9. 9
    Progress and challenges in mass spectrometry-based analysis of antibody repertoires

    Progress and challenges in mass spectrometry-based analysis of antibody repertoires af Igor Snapkov, Maria Chernigovskaya, Pavel Sinitcyn, Khang Lê Quý, Tuula A. Nyman, Victor Greiff

    Udgivet 2021
    Få fuldtekst Få fuldtekst
    Revisão
    Føj til favoritter
    Saved in:
  10. 10
    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 af Victor Greiff, Cédric R. Weber, Johannes Palme, Ulrich Bodenhofer, Enkelejda Miho, Ulrike Menzel, Sai T. Reddy

    Udgivet 2017
    Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  11. 11
    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 af Alexander J. Brown, Igor Snapkov, Rahmad Akbar, Milena Pavlović, Enkelejda Miho, Geir Kjetil Sandve, Victor Greiff

    Udgivet 2019
    Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  12. 12
    High-throughput antibody engineering in mammalian cells by CRISPR/Cas9-mediated homology-directed mutagenesis

    High-throughput antibody engineering in mammalian cells by CRISPR/Cas9-mediated homology-directed mutagenesis af Derek M. Mason, Cédric R. Weber, Cristina Parola, Simon M. Meng, Victor Greiff, William Kelton, Sai T. Reddy

    Udgivet 2018
    Få fuldtekst Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  13. 13
    immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking

    immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking af Cédric R. Weber, Rahmad Akbar, Alexander Yermanos, Milena Pavlović, Igor Snapkov, Geir Kjetil Sandve, Sai T. Reddy, Victor Greiff

    Udgivet 2020
    Få fuldtekst Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  14. 14
    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) af Alexander Yermanos, Victor Greiff, Nike Julia Kräutler, Ulrike Menzel, Andreas Dounas, Enkelejda Miho, Annette Oxenius, Tanja Stadler, Sai T. Reddy

    Udgivet 2017
    Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  15. 15
    Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice

    Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice af Victor Greiff, Ulrike Menzel, Ulrike Haessler, Skylar C. Cook, Simon Friedensohn, Tarik A. Khan, Mark Pogson, Ina Hellmann, Sai T. Reddy

    Udgivet 2014
    Få fuldtekst Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  16. 16
    Comprehensive Evaluation and Optimization of Amplicon Library Preparation Methods for High-Throughput Antibody Sequencing

    Comprehensive Evaluation and Optimization of Amplicon Library Preparation Methods for High-Throughput Antibody Sequencing af Ulrike Menzel, Victor Greiff, Tarik A. Khan, Ulrike Haessler, Ina Hellmann, Simon Friedensohn, Skylar C. Cook, Mark Pogson, Sai T. Reddy

    Udgivet 2014
    Få fuldtekst Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  17. 17
    The dengue-specific immune response and antibody identification with machine learning

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

    Udgivet 2024
    Få fuldtekst Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  18. 18
    Modern Hopfield Networks and Attention for Immune Repertoire Classification

    Modern Hopfield Networks and Attention for Immune Repertoire Classification af Michael Widrich, Bernhard Schäfl, Milena Pavlović, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, J. Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer

    Udgivet 2020
    Få fuldtekst Få fuldtekst
    Pré-impressão
    Føj til favoritter
    Saved in:
  19. 19
    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 af 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

    Udgivet 2017
    Få fuldtekst
    Artigo
    Føj til favoritter
    Saved in:
  20. 20
    Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery

    Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery af Wiktoria Wilman, Sonia Wróbel, Weronika Bielska, Piotr Deszyński, Paweł Dudzic, Igor Jaszczyszyn, Jędrzej Kaniewski, Jakub Młokosiewicz, Anahita Rouyan, Tadeusz Satława, Sandeep Kumar, Victor Greiff, Konrad Krawczyk

    Udgivet 2022
    Få fuldtekst Få fuldtekst
    Revisão
    Føj til favoritter
    Saved in:

Søgeredskaber: