ProteinBERT: a universal deep-learning model of protein sequence and function N Brandes, D Ofer, Y Peleg, N Rappoport, M Linial Bioinformatics 38 (8), 2102-2110, 2022 | 421 | 2022 |
An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ... Genome biology 17, 1-19, 2016 | 417 | 2016 |
The language of proteins: NLP, machine learning & protein sequences D Ofer, N Brandes, M Linial Computational and Structural Biotechnology Journal 19, 1750-1758, 2021 | 255 | 2021 |
ProFET: Feature engineering captures high-level protein functions D Ofer, M Linial Bioinformatics 31 (21), 3429-3436, 2015 | 107 | 2015 |
NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomes D Ofer, M Linial Bioinformatics 30 (7), 931-940, 2014 | 34 | 2014 |
ICU survival prediction incorporating test-time augmentation to improve the accuracy of ensemble-based models S Cohen, N Dagan, N Cohen-Inger, D Ofer, L Rokach IEEE Access 9, 91584-91592, 2021 | 26 | 2021 |
ASAP: a machine learning framework for local protein properties N Brandes, D Ofer, M Linial Database 2016, baw133, 2016 | 21 | 2016 |
Short toxin-like proteins attack the defense line of innate immunity Y Tirosh, D Ofer, T Eliyahu, M Linial Toxins 5 (7), 1314-1331, 2013 | 17 | 2013 |
Revisiting the risk factors for endometriosis: a machine learning approach I Blass, T Sahar, A Shraibman, D Ofer, N Rappoport, M Linial Journal of Personalized Medicine 12 (7), 1114, 2022 | 13 | 2022 |
Overlooked short toxin-like proteins: a shortcut to drug design M Linial, N Rappoport, D Ofer Toxins 9 (11), 350, 2017 | 13 | 2017 |
NeuroPID: a classifier of neuropeptide precursors S Karsenty, N Rappoport, D Ofer, A Zair, M Linial Nucleic acids research 42 (W1), W182-W186, 2014 | 12 | 2014 |
Inferring microRNA regulation: A proteome perspective D Ofer, M Linial Frontiers in Molecular Biosciences 9, 2022 | 10 | 2022 |
Cards against AI: Predicting humor in a fill-in-the-blank party game D Ofer, D Shahaf EMNLP 2022, 5397–5403, 2022 | 7 | 2022 |
The little known universe of short proteins in insects: A machine learning approach D Ofer, N Rappoport, M Linial Short Views on Insect Genomics and Proteomics: Insect Genomics, Vol. 1, 177-202, 2015 | 4 | 2015 |
Detecting anomalous proteins using deep representations T Michael-Pitschaze, N Cohen, D Ofer, Y Hoshen, M Linial NAR Genomics and Bioinformatics 6 (1), lqae021, 2024 | 3 | 2024 |
Machine Learning for Protein Function D Ofer arXiv preprint arXiv:1603.02021, 2016 | 3 | 2016 |
Automated annotation of disease subtypes D Ofer, M Linial Journal of Biomedical Informatics 154, 104650, 2024 | 1 | 2024 |
What’s next? Forecasting scientific research trends D Ofer, H Kaufman, M Linial Heliyon 10 (1), 2024 | 1* | 2024 |
Reduced Mortality During Holidays and the COVID-19 Pandemic in Israel R Rasnic, D Klinger, D Ofer, Y Comay, M Linial, E Bachmat medRxiv, 2020.07. 16.20155259, 2020 | 1 | 2020 |
Protein Language Models Expose Viral Mimicry and Immune Escape D Ofer, M Linial bioRxiv, 2024.03. 14.585057, 2024 | | 2024 |