| 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 | 634 | 2022 |
| The language of proteins: NLP, machine learning & protein sequences D Ofer, N Brandes, M Linial Computational and Structural Biotechnology Journal 19, 1750-1758, 2021 | 316 | 2021 |
| Genome-wide prediction of disease variant effects with a deep protein language model N Brandes, G Goldman, CH Wang, CJ Ye, V Ntranos Nature Genetics 55 (9), 1512-1522, 2023 | 218 | 2023 |
| PWAS: proteome-wide association study—linking genes and phenotypes by functional variation in proteins N Brandes, N Linial, M Linial Genome biology 21 (1), 173, 2020 | 113 | 2020 |
| Mitigation of chromosome loss in clinical CRISPR-Cas9-engineered T cells CA Tsuchida, N Brandes, R Bueno, M Trinidad, T Mazumder, B Yu, ... Cell 186 (21), 4567-4582. e20, 2023 | 98 | 2023 |
| Giant viruses—big surprises N Brandes, M Linial Viruses 11 (5), 404, 2019 | 93 | 2019 |
| Gene overlapping and size constraints in the viral world N Brandes, M Linial Biology direct 11, 1-15, 2016 | 76 | 2016 |
| Open problems in human trait genetics N Brandes, O Weissbrod, M Linial Genome Biology 23 (1), 131, 2022 | 54 | 2022 |
| Genetic association studies of alterations in protein function expose recessive effects on cancer predisposition N Brandes, N Linial, M Linial Scientific reports 11 (1), 14901, 2021 | 30 | 2021 |
| Substantial batch effects in TCGA exome sequences undermine pan-cancer analysis of germline variants R Rasnic, N Brandes, O Zuk, M Linial BMC cancer 19, 1-10, 2019 | 25 | 2019 |
| Quantifying gene selection in cancer through protein functional alteration bias N Brandes, N Linial, M Linial Nucleic Acids Research 47 (13), 6642-6655, 2019 | 25 | 2019 |
| ASAP: a machine learning framework for local protein properties N Brandes, D Ofer, M Linial Database 2016, baw133, 2016 | 23 | 2016 |
| Body mass index and birth weight improve polygenic risk score for type 2 diabetes A Moldovan, YY Waldman, N Brandes, M Linial Journal of personalized medicine 11 (6), 582, 2021 | 13 | 2021 |
| The FABRIC cancer portal: A ranked catalogue of gene selection in tumors over the human coding genome G Kelman, N Brandes, M Linial Cancer Research 81 (4), 1178-1185, 2021 | 4 | 2021 |
| Single cell sequencing as a general variant interpretation assay H Xu, L Chen, M Sun, K Jean-Baptiste, D Cao, X Zhou, S Wong, C Xiao, ... bioRxiv, 2023.12. 12.571130, 2023 | 2 | 2023 |
| Selecting Covariates for Genome-Wide Association Studies E Dor, I Margaliot, N Brandes, O Zuk, M Linial, N Rappoport bioRxiv, 2023.02. 07.527425, 2023 | 2 | 2023 |
| PWAS Hub: Exploring Gene-Based Associations of Common Complex Diseases G Kelman, R Zucker, N Brandes, M Linial medRxiv, 2024.01. 20.23300645, 2024 | 1 | 2024 |
| Evolutionary and functional lessons from human-specific amino acid substitution matrices T Shauli, N Brandes, M Linial NAR Genomics and Bioinformatics 3 (3), lqab079, 2021 | 1 | 2021 |
| ADPKD-Causing Missense Variants in Polycystin-1 Disrupt Cell Surface Localization or Polycystin Channel Function K Ha, GB Loeb, M Park, M Gupta, Y Akiyama, J Argiris, A Pinedo, CH Park, ... bioRxiv, 2023.12. 04.570035, 2023 | | 2023 |
| Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions A Wei, R Border, B Fu, S Cullina, N Brandes, SK Jang, S Sankararaman, ... medRxiv, 2023.09. 14.23295564, 2023 | | 2023 |