Victor Greiff

Associate Professor - Department of Immunology
Image of Victor Greiff
Norwegian version of this page
Mobile phone +47 96690757
Room A3.2008
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Visiting address Sognsvannsveien 20 Rikshospitalet 0372 Oslo
Postal address Postboks 4950 Nydalen OUS HF Rikshospitalet 0424 Oslo

Publications

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  • Doeland, Elin Martine; Sandve, Geir Kjetil Ferkingstad & Greiff, Victor (2022). Immunforsvaret har skjulte mønstre om sykdom og infeksjoner. Forskning.no. ISSN 1891-635X.
  • Torgersen, Eivind; Geir Kjetil, Sandve; Greiff, Victor; Pavlovic, Milena & Scheffer, Lonneke (2022). Fra bare én blodprøve kan kunstig intelligens gi diagnose for mange ulike sykdommer. Titan.uio.no.
  • Sandve, Geir Kjetil Ferkingstad; Greiff, Victor; Haff, Ingrid Hobæk & Vu, Mai Ha (2022). Deciphering the Immune System Through Linguistics-Inspired Statistical Machine Learning.
  • Greiff, Victor (2022). Predicting adaptive immunity using systems immunology and machine learning.
  • Greiff, Victor (2022). Statistical and machine-learning analysis of adaptive immune specificity.
  • Greiff, Victor (2022). AI-based prediction of the adaptive immune response.
  • Greiff, Victor (2022). A Compact Vocabulary of Paratope-Epitope Interactions Enables Predictability of Antibody-Antigen Binding.
  • Greiff, Victor (2022). Towards targeted computational and machine-learning- based antibody specificity and developability design.
  • Greiff, Victor (2022). Machine-learning-based antibody design.
  • Greiff, Victor (2022). Profiling the specificity of adaptive immune receptor repertoires.
  • Greiff, Victor (2021). Towards predicting antibody-antigen at the paratope-epitope level using machine learning.
  • Huang, Yu-Ning; Peng, Kerui; Popejoy, Alice B.; Hu, Jieting; Nowicki, Theodore Scott & Gold, Stefan M. [Show all 13 contributors for this article] (2021). Ancestral diversity is limited in published T cell receptor sequencing studies. Immunity. ISSN 1074-7613. 54(10), p. 2177–2179. doi: 10.1016/j.immuni.2021.09.015.
  • Greiff, Victor (2021). Development of Machine Learning Methods for the Analysis, Prediction and Generation of Antibody Repertoires.
  • Greiff, Victor (2021). Machine-learning-based design of antibody therapeutics.
  • Greiff, Victor (2021). Latest techniques in validation of computational drug discovery.
  • Greiff, Victor (2021). Computational and machine learning approaches for identifying antigen-specific information in adaptive immune receptor repertoires.
  • Greiff, Victor (2021). Quantifying the specificity of adaptive immunity.
  • Greiff, Victor (2021). Introduction to computational adaptive immune receptor repertoire (AIRR) immunogenomics.
  • Greiff, Victor (2021). Future perspectives: from protein structure to function.
  • Greiff, Victor (2021). Steps in data processing and analysis of adaptive immune receptor repertoires: best practices, pitfalls, and future directions.
  • Greiff, Victor (2021). Mining the rules of adaptive immune repertoires in health and disease.
  • Greiff, Victor (2021). Quantifying the specificity of adaptive immunity.
  • Greiff, Victor (2021). Quantifying the specificity of adaptive immunity.
  • Widrich, Michael; Schäfl, Bernhard; Pavlović, Milena; Ramsauer, Hubert; Gruber, Lukas & Holzleitner, Markus [Show all 11 contributors for this article] (2020). Modern Hopfield Networks and Attention for Immune Repertoire Classification.
  • Greiff, Victor (2020). Systems immunology of adaptive immune receptor repertoires:  Deciphering immunological variation and specificity.
  • Greiff, Victor (2020). Deep-learning based prediction of antibody-antigen interaction.
  • Greiff, Victor (2020). Machine learning on sequence and structural adaptive immune receptor repertoire (AIRR) data .
  • Greiff, Victor (2020). Quantifying the specificity of the adaptive immune response on the repertoire and sequence level.
  • Greiff, Victor (2020). Systems immunology of immune receptor repertoires: Deciphering immunological specificity.
  • Greiff, Victor (2020). Methods for mining the adaptive immune repertoire for SARS-CoV-2 diagnostics and therapeutics.
  • Chain, Benny; Greiff, Victor; Textor, Johannes & Yaari, Gur (2019). Editorial: Methods and Applications of Computational Immunology. Frontiers in Immunology. ISSN 1664-3224. 10. doi: 10.3389/fimmu.2019.02818.

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Published Jan. 2, 2018 3:34 PM - Last modified Sep. 19, 2022 1:04 PM