| In silico proof of principle of machine learning-based antibody design at unconstrained scale R Akbar, PA Robert, CR Weber, M Widrich, R Frank, M Pavlović, ... MAbs 14 (1), 2031482, 2022 | 84 | 2022 |
| The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires M Pavlović, L Scheffer, K Motwani, C Kanduri, R Kompova, N Vazov, ... Nature Machine Intelligence 3 (11), 936-944, 2021 | 59 | 2021 |
| Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ... Nature Computational Science 2 (12), 845-865, 2022 | 53* | 2022 |
| Progress and challenges in mass spectrometry-based analysis of antibody repertoires I Snapkov, M Chernigovskaya, P Sinitcyn, K Lê Quý, TA Nyman, V Greiff Trends in Biotechnology 40 (4), 463-481, 2022 | 32 | 2022 |
| Individualized VDJ recombination predisposes the available Ig sequence space A Slabodkin, M Chernigovskaya, I Mikocziova, R Akbar, L Scheffer, ... Genome Research 31 (12), 2209-2224, 2021 | 30 | 2021 |
| TCR repertoire diversity in Multiple Sclerosis: High-dimensional bioinformatics analysis of sequences from brain, cerebrospinal fluid and peripheral blood R Amoriello, M Chernigovskaya, V Greiff, A Carnasciali, L Massacesi, ... EBioMedicine 68, 2021 | 25 | 2021 |
| Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification C Kanduri, M Pavlović, L Scheffer, K Motwani, M Chernigovskaya, V Greiff, ... GigaScience 11, giac046, 2022 | 23 | 2022 |
| A Nextflow pipeline for T-cell receptor repertoire reconstruction and analysis from RNA sequencing data T Rubio, M Chernigovskaya, S Marquez, C Marti, P Izquierdo-Altarejos, ... ImmunoInformatics 6, 100012, 2022 | 4 | 2022 |
| simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods C Kanduri, L Scheffer, M Pavlović, KD Rand, M Chernigovskaya, ... GigaScience 12, giad074, 2023 | 2 | 2023 |
| Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning M Chernigovskaya, M Pavlović, C Kanduri, S Gielis, PA Robert, L Scheffer, ... bioRxiv, 2023.10. 20.562936, 2023 | 1 | 2023 |
| Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling K Le Quy, M Chernigovskaya, M Stensland, S Singh, J Leem, S Revale, ... bioRxiv, 2023.11. 01.565093, 2023 | 1 | 2023 |
| Application and challenges of TCR and BCR sequencing to investigate T-and B-cell clonality in elastase-induced experimental murine abdominal aortic aneurysm C Elster, M Ommer-Bläsius, A Lang, T Vajen, S Pfeiler, M Feige, ... Frontiers in Cardiovascular Medicine 10, 1221620, 2023 | | 2023 |
| Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability H Bashour, E Smorodina, M Pariset, J Zhong, R Akbar, M Chernigovskaya, ... bioRxiv, 2023.10. 26.563958, 2023 | | 2023 |
| Human thymic putative CD8αα precursors exhibit a biased TCR repertoire in single cell AIRR-seq M Heimli, S Tennebø Flåm, H Sagsveen Hjorthaug, PM Bjørnstad, ... Scientific Reports 13 (1), 17714, 2023 | | 2023 |
| Atypical memory B cells form a pre-plasmacellular reservoir for steady-state IgD responses to common nasopharyngeal antigens R Tachó-Piñot, H Bashour, M Filipska, S Tejedor-Vaquero, ... bioRxiv, 2023.08. 29.554748, 2023 | | 2023 |
| Evolution of the SARS-CoV-2 specific B cell and antibody repertoires over time N van der Bolt, M Chernigovskaya, M Claireaux, R Visser, F van Alphen, ... European Journal of Immunology, 48-48, 2021 | | 2021 |
Victor GreiffAssociate Professor, Laboratory for Computational and Systems Immunology, University of OsloVerified email at medisin.uio.no
