| Gene expression elucidates functional impact of polygenic risk for schizophrenia M Fromer, P Roussos, SK Sieberts, JS Johnson, DH Kavanagh, ... Nature neuroscience 19 (11), 1442-1453, 2016 | 1105 | 2016 |
| The ExAC browser: displaying reference data information from over 60 000 exomes KJ Karczewski, B Weisburd, B Thomas, M Solomonson, DM Ruderfer, ... Nucleic acids research 45 (D1), D840-D845, 2017 | 767 | 2017 |
| Patterns of genic intolerance of rare copy number variation in 59,898 human exomes DM Ruderfer, T Hamamsy, M Lek, KJ Karczewski, D Kavanagh, ... Nature genetics 48 (10), 1107-1111, 2016 | 187 | 2016 |
| Landscape of conditional eQTL in dorsolateral prefrontal cortex and co-localization with schizophrenia GWAS A Dobbyn, LM Huckins, J Boocock, LG Sloofman, BS Glicksberg, ... The American Journal of Human Genetics 102 (6), 1169-1184, 2018 | 145 | 2018 |
| High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0 CS Gibbs, CA Jackson, GA Saldi, A Tjärnberg, A Shah, A Watters, ... Bioinformatics 38 (9), 2519, 2022 | 40 | 2022 |
| Protein remote homology detection and structural alignment using deep learning T Hamamsy, JT Morton, R Blackwell, D Berenberg, N Carriero, ... Nature biotechnology 42 (6), 975-985, 2024 | 38 | 2024 |
| High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0 C Skok Gibbs, CA Jackson, GA Saldi, A Tjärnberg, A Shah, A Watters, ... Bioinformatics 38 (9), 2519-2528, 2022 | 33 | 2022 |
| Quantifying the severity of adverse drug reactions using social media: network analysis A Lavertu, T Hamamsy, RB Altman Journal of Medical Internet Research 23 (10), e27714, 2021 | 16 | 2021 |
| A knowledge graph-based approach for exploring the US opioid epidemic MR Kamdar, T Hamamsy, S Shelton, A Vala, T Eftimov, J Zou, S Tamang arXiv preprint arXiv:1905.11513, 2019 | 11 | 2019 |
| Viewing the US presidential electoral map through the lens of public health T Hamamsy, M Danziger, J Nagler, R Bonneau Plos one 16 (7), e0254001, 2021 | 10 | 2021 |
| TM-Vec: template modeling vectors for fast homology detection and alignment T Hamamsy, JT Morton, D Berenberg, N Carriero, V Gligorijevic, ... bioRxiv, 2022.07. 25.501437, 2022 | 9 | 2022 |
| Monitoring the opioid epidemic via social media discussions A Lavertu, T Hamamsy, RB Altman MedRxiv, 2021.04. 01.21254815, 2021 | 9 | 2021 |
| Twitter activity about treatments during the COVID-19 pandemic: case studies of remdesivir, hydroxychloroquine, and convalescent plasma T Hamamsy, R Bonneau medRxiv, 2020.06. 18.20134668, 2020 | 9 | 2020 |
| Learning sequence, structure, and function representations of proteins with language models T Hamamsy, M Barot, JT Morton, M Steinegger, R Bonneau, K Cho bioRxiv, 2023 | 5 | 2023 |
| Quantifying the severity of adverse drug reactions using social media A Lavertu, T Hamamsy, RB Altman bioRxiv, 2021.02. 02.429445, 2021 | 2 | 2021 |
| Language Modeling for Biological Sequences T Hamamsy New York University, 2023 | | 2023 |
| Examining gender differences in opioid, benzodiazepine, and antibiotic prescribing T Hamamsy, S Tamang, A Lembke medRxiv, 19003533, 2019 | | 2019 |
| GENIC INTOLERANCE TO COPY NUMBER VARIATION IN 60,000 INDIVIDUALS AND APPLICATIONS TO IDENTIFYING RISK GENES IN SCHIZOPHRENIA D Ruderfer, M Fromer, T Hamamsy, M Lek, K Samocha, K Karczewski, ... EUROPEAN NEUROPSYCHOPHARMACOLOGY 27, S278-S278, 2017 | | 2017 |
| DEEP LEARNING METHODS FOR SOLVING PARTIAL DIFFERENTIAL EQUATIONS J Berman, D Berenberg, A Gjoka, T Hamamsy | | |
