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Gamze Gürsoy
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2020 – today
- 2024
- [j6]Seungwan Hong
, Yoolim A. Choi, Daniel S. Joo, Gamze Gürsoy
:
Privacy-preserving model evaluation for logistic and linear regression using homomorphically encrypted genotype data. J. Biomed. Informatics 156: 104678 (2024) - [i5]Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang
, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i4]Ahmed Elhussein, Gamze Gürsoy:
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning. CoRR abs/2404.18773 (2024) - 2023
- [j5]Rockwell J. Weiner, Chirag M. Lakhani, David A. Knowles
, Gamze Gürsoy
:
LDmat: efficiently queryable compression of linkage disequilibrium matrices. Bioinform. 39(2) (2023) - [c8]Ahmed Elhussein, Jude P. Savarraj, E. Sander Connolly, Murad Megjhani, Soon Bin Kwon, Angela Velazquez, Daniel Nametz, David J. Roh, Jan Claassen, Miriam Weiss, Sachin Agarwal, Huimahn A. Choi, Gerrit A. Schubert, Soojin Park, Gamze Gürsoy:
A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning. BIBM 2023: 1886-1889 - [c7]Ahmed Elhussein, Gamze Gürsoy:
Privacy-preserving patient clustering for personalized federated learnings. MLHC 2023: 150-166 - [i3]Ahmed Elhussein, Gamze Gürsoy:
Privacy-preserving patient clustering for personalized federated learning. CoRR abs/2307.08847 (2023) - 2022
- [c6]Ahmed Elhussein, Gamze Gürsoy:
A consortium blockchain for secure, unified, and efficient sharing of EHR and genomics data. AMIA 2022 - [c5]Gamze Gürsoy, Bradley A. Malin, Erman Ayday, Ellen Wright Clayton:
How to Achieve Privacy in Large Diverse Health Systems. AMIA 2022 - [c4]Amol Khanna
, Vincent Schaffer, Gamze Gürsoy, Mark Gerstein:
Privacy-preserving Model Training for Disease Prediction Using Federated Learning with Differential Privacy. EMBC 2022: 1358-1361 - [i2]Esha Sarkar, Eduardo Chielle, Gamze Gürsoy, Leo Chen, Mark Gerstein, Michail Maniatakos:
Scalable privacy-preserving cancer type prediction with homomorphic encryption. CoRR abs/2204.05496 (2022) - 2021
- [j4]Esha Sarkar
, Eduardo Chielle
, Gamze Gürsoy, Oleg Mazonka
, Mark Gerstein
, Michail Maniatakos
:
Fast and Scalable Private Genotype Imputation Using Machine Learning and Partially Homomorphic Encryption. IEEE Access 9: 93097-93110 (2021) - [j3]Gamze Gürsoy, Charlotte M. Brannon
, Fabio C. P. Navarro, Mark Gerstein:
FANCY: fast estimation of privacy risk in functional genomics data. Bioinform. 36(21): 5145-5150 (2021) - 2020
- [j2]Jing Zhang, Jason Liu
, Donghoon Lee
, Shaoke Lou, Zhanlin Chen, Gamze Gürsoy, Mark Gerstein:
DiNeR: a Differential graphical model for analysis of co-regulation Network Rewiring. BMC Bioinform. 21(1): 281 (2020) - [c3]Gamze Gürsoy, Megan Doerr, John Wilbanks, Jennifer K. Wagner, Haixu Tang, Steven E. Brenner:
Navigating Ethical Quandaries with the Privacy Dilemma of Biomedical Datasets. PSB 2020: 736-738
2010 – 2019
- 2019
- [c2]Gamze Gürsoy, Arif Ozgun Harmanci, Haixu Tang, Erman Ayday, Steven E. Brenner:
Session Introduction. PSB 2019: 386-390 - 2017
- [j1]Gamze Gürsoy, Yun Xu, Jie Liang
:
Spatial organization of the budding yeast genome in the cell nucleus and identification of specific chromatin interactions from multi-chromosome constrained chromatin model. PLoS Comput. Biol. 13(7) (2017) - 2014
- [c1]Gamze Gürsoy, Yun Xu, Jie Liang:
Computational predictions of structures of multichromosomes of budding yeast. EMBC 2014: 3945-3948 - 2011
- [i1]Réka Albert, Bhaskar DasGupta, Anthony Gitter, Gamze Gürsoy, Rashmi Hegde, Pradyut Paul, Gowri Sangeetha Sivanathan, Eduardo D. Sontag:
A New Computationally Efficient Measure of Topological Redundancy of Biological and Social Networks. CoRR abs/1108.6113 (2011)
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last updated on 2024-08-18 23:07 CEST by the dblp team
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