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Mabs|April 4, 2022
In silico proof of principle of machine learning-based antibody design at unconstrained scaleRahmad Akbar, Philippe A Robert, Cédric R Weber, et al.
Briefings in Bioinformatics|October 19, 2019
Beware the Jaccard: the choice of similarity measure is important and non-trivial in genomic colocalisation analysisStefania Salvatore, Knut Dagestad Rand, Ivar Grytten, et al.
Cell Systems|November 13, 2025
Systematic benchmarking of mass spectrometry-based antibody sequencing reveals methodological biasesMaria Chernigovskaya, Khang Lê Quý, Maria Stensland, et al.
Frontiers in Immunology|April 30, 2021
Comprehensive Analysis of CDR3 Sequences in Gluten-Specific T-Cell Receptors Reveals a Dominant R-Motif and Several New Minor MotifsShiva Dahal-Koirala, Louise Fremgaard Risnes, Ralf Stefan Neumann, et al.
Human Molecular Genetics|May 19, 2012
Vitamin D receptor binding, chromatin states and association with multiple sclerosisGiulio Disanto, Geir Kjetil Sandve, Antonio J Berlanga-Taylor, et al.
Frontiers in Public Health|December 26, 2023
Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based studySaeed Shakibfar, Jing Zhao, Huiqi Li, et al.
Genes and Immunity|June 27, 2021
Immunoglobulin germline gene variation and its impact on human diseaseIvana Mikocziova, Victor Greiff, Ludvig M Sollid
Trends in Immunology|October 29, 2015
Bioinformatic and Statistical Analysis of Adaptive Immune RepertoiresVictor Greiff, Enkelejda Miho, Ulrike Menzel, et al.
Nature Computational Science|January 4, 2024
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity predictionPhilippe A Robert, Rahmad Akbar, Robert Frank, et al.
Journal of Leukocyte Biology|September 22, 2023
NKG2A discriminates natural killer cells with a suppressed phenotype in pediatric acute leukemiaAina Ulvmoen, Victor Greiff, Anne G Bechensteen, et al.
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