Victor Greiff

Bilde av Victor Greiff
English version of this page
Mobiltelefon +47 96690757
Brukernavn
Besøksadresse Sognsvannsveien 20 Rikshospitalet 0372 Oslo
Postadresse Postboks 4950 Nydalen OUS HF Rikshospitalet 0424 Oslo
Andre tilknytninger Institutt for pedagogikk (Student)

Publikasjoner

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  • Le, Quy Khang; Chernigovskaia, Mariia; Greiff, Victor & Nyman, Tuula Anneli (2024). Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling. bioRxiv. ISSN 2692-8205. doi: 10.1101/2023.11.01.565093.
  • Natali, Eriberto Noel; Horst, Alexander; Meier, Patrick; Greiff, Victor; Nuvolone, Mario & Babrak, Lmar Marie [Vis alle 8 forfattere av denne artikkelen] (2024). Correction to: The dengue-specific immune response and antibody identification with machine learning (npj Vaccines, (2024), 9, 1, (16), 10.1038/s41541-023-00788-7). npj Vaccines. ISSN 2059-0105. 9(1). doi: 10.1038/s41541-024-00820-4.
  • Mhanna, Vanessa; Bashour, Habib; Lê Quý, Khang; Barennes, Pierre; Rawat, Puneet & Greiff, Victor [Vis alle 7 forfattere av denne artikkelen] (2024). Correction to: Adaptive immune receptor repertoire analysis (Nature Reviews Methods Primers, (2024), 4, 1, (6), 10.1038/s43586-023-00284-1). Nature reviews methods primers. ISSN 2662-8449. doi: 10.1038/s43586-024-00299-2.
  • Erasmus, M. Frank; Ferrara, Fortunato; D’Angelo, Sara; Spector, Laura; Leal-Lopes, Camila & Teixeira, André A. [Vis alle 17 forfattere av denne artikkelen] (2024). Correction to: Insights into next generation sequencing guided antibody selection strategies (Scientific Reports, (2023), 13, 1, (18370), 10.1038/s41598-023-45538-w). Scientific Reports. ISSN 2045-2322. 14(1). doi: 10.1038/s41598-024-53751-4.
  • Erasmus, M. Frank; Ferrara, Fortunato; D’Angelo, Sara; Spector, Laura; Leal‑Lopes, Camila & Teixeira, André A. [Vis alle 17 forfattere av denne artikkelen] (2023). Author Correction: Insights into next generation sequencing guided antibody selection strategies (Scientific Reports, (2023), 13, 1, (18370), 10.1038/s41598-023-45538-w). Scientific Reports. ISSN 2045-2322. 13(1). doi: 10.1038/s41598-023-49214-x.
  • Vu, Mai Ha; Akbar, Rahmad; Robert, Philippe; Sandve, Geir Kjetil Ferkingstad; Haug, Dag Trygve Truslew & Greiff, Victor (2023). Linguistically inspired roadmap for building biologically reliable protein language models. Nature Machine Intelligence. 5(5), s. 485–496. doi: 10.1038/s42256-023-00637-1.
  • 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.
  • Sandve, Geir Kjetil Ferkingstad & Greiff, Victor (2022). Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarking. Bioinformatics. ISSN 1367-4803. 38(21), s. 4994–4996. doi: 10.1093/bioinformatics/btac612. Fulltekst i vitenarkiv
  • 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. [Vis alle 13 forfattere av denne artikkelen] (2021). Ancestral diversity is limited in published T cell receptor sequencing studies. Immunity. ISSN 1074-7613. 54(10), s. 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 [Vis alle 11 forfattere av denne artikkelen] (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.

Se alle arbeider i Cristin

Publisert 2. jan. 2018 15:33 - Sist endret 19. sep. 2022 13:04