| Cell-type-specific analysis of alternative polyadenylation using single-cell transcriptomics data ED Shulman, R Elkon Nucleic acids research 47 (19), 10027-10039, 2019 | 83 | 2019 |
| A cell-type-specific atlas of the inner ear transcriptional response to acoustic trauma B Milon, ED Shulman, KS So, CR Cederroth, EL Lipford, M Sperber, ... Cell reports 36 (13), 2021 | 78 | 2021 |
| Genome-wide association meta-analysis identifies 48 risk variants and highlights the role of the stria vascularis in hearing loss N Trpchevska, MB Freidin, L Broer, BC Oosterloo, S Yao, Y Zhou, B Vona, ... The American Journal of Human Genetics 109 (6), 1077-1091, 2022 | 51 | 2022 |
| Systematic identification of functional SNPs interrupting 3’UTR polyadenylation signals ED Shulman, R Elkon PLoS Genetics 16 (8), e1008977, 2020 | 34 | 2020 |
| Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptome G Dinstag, ED Shulman, E Elis, DS Ben-Zvi, O Tirosh, E Maimon, ... Med 4 (1), 15-30. e8, 2023 | 32 | 2023 |
| Human aneuploid cells depend on the RAF/MEK/ERK pathway for overcoming increased DNA damage J Zerbib, MR Ippolito, Y Eliezer, G De Feudis, E Reuveni, A Savir Kadmon, ... Nature Communications 15 (1), 7772, 2024 | 26 | 2024 |
| A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics DT Hoang, G Dinstag, ED Shulman, LC Hermida, DS Ben-Zvi, E Elis, ... Nature cancer 5 (9), 1305-1317, 2024 | 23 | 2024 |
| Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning DT Hoang, ED Shulman, R Turakulov, Z Abdullaev, O Singh, ... Nature Medicine 30 (7), 1952-1961, 2024 | 18 | 2024 |
| Alternative cleavage and polyadenylation generates downstream uncapped RNA isoforms with translation potential Y Malka, F Alkan, S Ju, PR Körner, A Pataskar, E Shulman, ... Molecular Cell 82 (20), 3840-3855. e8, 2022 | 16 | 2022 |
| Increased RNA and protein degradation is required for counteracting transcriptional burden and proteotoxic stress in human aneuploid cells MR Ippolito, J Zerbib, Y Eliezer, E Reuveni, S Viganò, G De Feudis, ... Cancer Discovery 14 (12), 2532-2553, 2024 | 13 | 2024 |
| Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations TG Chang, Y Cao, ED Shulman, U Ben-David, AA Schäffer, E Ruppin npj Precision Oncology 7 (1), 54, 2023 | 8* | 2023 |
| MYC induces immunotherapy and IFNγ resistance through downregulation of JAK2 E Markovits, O Harush, EN Baruch, ED Shulman, A Debby, O Itzhaki, ... Cancer immunology research 11 (7), 909-924, 2023 | 5 | 2023 |
| Charting the transcriptomic landscape of primary and metastatic cancers in relation to their origin and target normal tissues N Sanghvi, C Calvo-Alcañiz, PS Rajagopal, S Scalera, V Canu, S Sinha, ... Science Advances 10 (49), eadn0220, 2024 | 4 | 2024 |
| Genetic mapping of developmental trajectories for complex traits and diseases ED Shulman, R Elkon Computational and structural biotechnology journal 19, 3458-3469, 2021 | 3 | 2021 |
| ENLIGHT: Pancancer response prediction to targeted and immunotherapies via tumor transcriptomics. R Aharonov, G Dinstag, E Shulman, E Elis, D Ben-Zvi, O Tirosh, ... Journal of Clinical Oncology 40 (16_suppl), e13556-e13556, 2022 | 2 | 2022 |
| Chromosome 7 gain compensates for chromosome 10 loss in glioma NU Nair, AA Schäffer, EM Gertz, K Cheng, J Zerbib, AD Sahu, G Leor, ... Cancer Research 84 (20), 3464-3477, 2024 | 1 | 2024 |
| Chromosome 7 to the rescue: overcoming chromosome 10 loss in gliomas NU Nair, AA Schäffer, EM Gertz, K Cheng, J Zerbib, AD Sahu, G Leor, ... bioRxiv, 2024.01. 17.576103, 2024 | 1 | 2024 |
| Path2Space: An AI Approach for Cancer Biomarker Discovery Via Histopathology Inferred Spatial Transcriptomics ED Shulman, EM Campagnolo, R Lodha, T Cantore, T Hu, M Nasrallah, ... bioRxiv, 2024.10. 16.618609, 2024 | | 2024 |
| The expression patterns of different cell types and their interactions in the tumor microenvironment are predictive of breast cancer patient response to neoadjuvant chemotherapy E Ruppin, SR Dhruba, S Sahni, B Wang, D Wu, P Rajagopal, ... | | 2024 |
| The expression patterns of different cell types and their interactions in the tumor microenvironment are predictive of breast cancer patient response to neoadjuvant chemotherapy SR Dhruba, S Sahni, B Wang, D Wu, PS Rajagopal, Y Schmidt, ... bioRxiv, 2024 | | 2024 |
Eytan RuppinChief, Cancer Data Science Lab (CDSL), NCI/NIHبريد إلكتروني تم التحقق منه على nih.gov
