| 1 The ADIOS algorithm for grammar induction S Edelman, Z Solan, D Horn, E Ruppin | | |
| 1155 CO-TARGETING MAPK SIGNALING AND ASPARAGINE METABOLISM BY MEK INHIBITOR+ L-ASPARAGINASE COMBINATION IN PANCREATIC CANCER G Pathria, JS Lee, E Hasnis, K Tandoc, DA Scott, S Verma, Y Feng, ... Gastroenterology 158 (6), S-231-S-232, 2020 | | 2020 |
| 1306 Negative selection of ligand-receptor interactions mediating lymphocyte infiltration confers melanoma resistance to immune checkpoint blockade therapy by turning hot … S Sahni, K Wang, B Wang, SR Dhruba, D Wu, M Nagy, E Ruppin Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| 157 A transcriptomics-based response predictor identifies potential responders among patients with negative standard markers for response to immune checkpoint blockers G Dinstag, E Elis, DS Ben-Zvi, K Aldape, E Ruppin, T Beker, R Berger, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| 16 Evolution of language diversity: why fitness counts Z Solan, E Ruppin, D Horn, S Edelman Language origins: Perspectives on evolution, 357, 2005 | 3 | 2005 |
| 287 Identification of potentially safe and selective CAR targets for head and neck cancer via a pan-cancer single cell transcriptome analysis S Madan, E Ruppin Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| 3030–THE EPIGENETIC REGULATOR LANDSCAPE OF STEMNESS NETWORKS IN ACUTE MYELOID LEUKEMIA K Barbosa, A Deshpande, P Xiang, A Minkina, F Schischlik, A Brown, ... Experimental Hematology 111, S59-S60, 2022 | | 2022 |
| 4. Categorization (without categories) N Snider, I Arnon, Z Solan, D Horn, E Ruppin, S Edelman, ... Sciences 102 (11629), 11634, 0 | | |
| 526 Robust prediction of patient outcomes with immune checkpoint blockade therapy for cancer using common clinical, pathologic, and genomic features T Chang, Y Cao, H Sfreddo, SR Dhruba, SH Lee, C Valero, SK Yoo, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| 536 Decoupling cytotoxic T lymphocyte and exhausted T lymphocyte transcriptomic signatures enhances immune checkpoint inhibitors response prediction in melanoma B Wang, K Wang, E Ruppin, P Jiang Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | | 2022 |
| A calculator for COVID-19 severity prediction based on patient risk factors and number of vaccines received A Israel, AA Schäffer, E Merzon, I Green, E Magen, A Golan-Cohen, ... Microorganisms 10 (6), 1238, 2022 | 5 | 2022 |
| A chemogenetic approach reveals a GPCR-Gαs-PKA signaling axis promoting T cell dysfunction and cancer immunotherapy failure BS Yung, VH Wu, F Faraji, R Saddawi-Konefka, Z Wang, AT Wenzel, ... Cancer Research 83 (7_Supplement), 2868-2868, 2023 | | 2023 |
| A complex-centric view of protein network evolution N Yosef, M Kupiec, E Ruppin, R Sharan Nucleic Acids Research 37 (12), e88-e88, 2009 | 34 | 2009 |
| A comprehensive analysis of adverse events in the first 30 days of phase 1 pediatric CAR T-cell trials SK Silbert, S Madan, EM Holland, SM Steinberg, L Little, T Foley, ... Blood advances 7 (18), 5566-5578, 2023 | 1 | 2023 |
| A comprehensive map of alternative polyadenylation in African American and European American lung cancer patients A Zingone, S Sinha, M Ante, C Nguyen, D Daujotyte, ED Bowman, ... Nature communications 12 (1), 5605, 2021 | 12 | 2021 |
| A computational model of acute focal cortical lesions S Goodall, JA Reggia, Y Chen, E Ruppin, C Whitney Stroke 28 (1), 101-109, 1997 | 60 | 1997 |
| A computational study of the Warburg effect identifies metabolic targets inhibiting cancer migration K Yizhak, SE Le Dévédec, VM Rogkoti, F Baenke, VC De Boer, C Frezza, ... Molecular systems biology 10 (8), 744, 2014 | 163 | 2014 |
| 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, 1-13, 2024 | | 2024 |
| A direct comparison of protein interaction confidence assignment schemes S Suthram, T Shlomi, E Ruppin, R Sharan, T Ideker BMC bioinformatics 7, 1-10, 2006 | 157 | 2006 |
| A Division of Labor between YAP and TAZ in Non–Small Cell Lung Cancer M Shreberk-Shaked, B Dassa, S Sinha, S Di Agostino, I Azuri, ... Cancer research 80 (19), 4145-4157, 2020 | 43 | 2020 |
Roded SharanTel Aviv University在 post.tau.ac.il 的电子邮件经过验证
