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Eldad David Shulman
Eldad David Shulman
Postdoc researcher, National Cancer Institute
Verified email at nih.gov
Title
Cited by
Cited by
Year
Cell-type-specific analysis of alternative polyadenylation using single-cell transcriptomics data
ED Shulman, R Elkon
Nucleic acids research 47 (19), 10027-10039, 2019
692019
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
632021
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
352022
Systematic identification of functional SNPs interrupting 3’UTR polyadenylation signals
ED Shulman, R Elkon
PLoS Genetics 16 (8), e1008977, 2020
322020
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
112023
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
92022
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
22023
Genetic mapping of developmental trajectories for complex traits and diseases
ED Shulman, R Elkon
Computational and Structural Biotechnology Journal 19, 3458-3469, 2021
22021
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
12023
Charting the transcriptomic landscape of primary and metastatic cancers in relation to their origin and target normal tissues
N Sanghvi, C Calvo-Alcañiz, P Rajagopal, S Scalera, V Canu, S Sinha, ...
bioRxiv, 2023.10. 30.564810, 2023
12023
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
12022
Abstract LB242: Prediction of patient response to neoadjuvant chemotherapy in breast cancer from their deconvolved tumor microenvironment transcriptome
SR Dhruba, S Sahni, B Wang, D Wu, Y Schmidt, E Shulman, S Sinha, ...
Cancer Research 84 (7_Supplement), LB242-LB242, 2024
2024
Why does the loss of chromosomes 10 and the gain of 7 co-occur in gliomas
NU Nair, AA Schäffer, ME Gertz, K Cheng, AD Sahu, G Leor, ED Shulman, ...
Cancer Research 84 (6_Supplement), 2263-2263, 2024
2024
Integrated deep learning model for predicting DNA methylation and tumor types from histopathology in central nervous system tumors
ED Shulman, DT Hoang, R Turakulov, Z Abdullaev, O Singh, ...
Cancer Research 84 (6_Supplement), 886-886, 2024
2024
Chromosome 7 to the rescue: overcoming chromosome 10 loss in gliomas
NU Nair, AA Schaffer, ME Gertz, K Cheng, J Zerbib, AD Sahu, G Leor, ...
bioRxiv, 2024.01. 17.576103, 2024
2024
Predicting breast cancer patients response to neoadjuvant chemotherapy from the deconvolved transcriptome of different cell types in the tumor microenvironment
SR Dhruba, S Sahni, B Wang, D Wu, Y Schmidt, E Shulman, S Sinha, ...
MOLECULAR CANCER THERAPEUTICS 22 (12), 2023
2023
Abstract A018: 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
Molecular Cancer Therapeutics 22 (12_Supplement), A018-A018, 2023
2023
Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptome.
R Aharonov, G Dinstag, E Shulman, E Elis, D Ben-Zvi, O Tirosh, ...
Journal of Clinical Oncology 41 (16_suppl), 1553-1553, 2023
2023
Prediction of patient response to targeted and immunotherapies from the tumor transcriptome in a wide set of indications and clinical trials
G Dinstag, ED Shulman, E Elis, DS Ben-Zvi, O Tirosh, E Maimon, ...
Cancer Research 83 (7_Supplement), 957-957, 2023
2023
Abstract LB_A02: Predicting breast cancer patients’ response to neoadjuvant chemotherapy from the deconvolved transcriptome of different cell types in the tumor microenvironment
SR Dhruba, S Sahni, B Wang, D Wu, Y Schmidt, E Shulman, S Sinha, ...
NaN, LB_A02-LB_A02, 2023
2023
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