Functional gene groups are concentrated within chromosomes, among chromosomes and in the nuclear space of the human genome A Thévenin, L Ein-Dor, M Ozery-Flato, R Shamir Nucleic acids research 42 (15), 9854-9861, 2014 | 89 | 2014 |
Two notes on genome rearrangement M Ozery-Flato, R Shamir Journal of Bioinformatics and Computational Biology 1 (01), 71-94, 2003 | 85 | 2003 |
Toward personalized care management of patients at risk: the diabetes case study H Neuvirth, M Ozery-Flato, J Hu, J Laserson, MS Kohn, S Ebadollahi, ... Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 72 | 2011 |
Changing the approach to treatment choice in epilepsy using big data O Devinsky, C Dilley, M Ozery-Flato, R Aharonov, Y Goldschmidt, ... Epilepsy & Behavior 56, 32-37, 2016 | 70 | 2016 |
Large-scale analysis of chromosomal aberrations in cancer karyotypes reveals two distinct paths to aneuploidy M Ozery-Flato, C Linhart, L Trakhtenbrot, S Izraeli, R Shamir Genome Biology 12, 1-12, 2011 | 69 | 2011 |
Adjoining to Wythoff's game its P-positions as moves AS Fraenkel, M Ozery Theoretical computer science 205 (1-2), 283-296, 1998 | 41 | 1998 |
Artificial intelligence for reducing workload in breast cancer screening with digital breast tomosynthesis Y Shoshan, R Bakalo, F Gilboa-Solomon, V Ratner, E Barkan, ... Radiology 303 (1), 69-77, 2022 | 40 | 2022 |
An algorithm for sorting by reciprocal translocations M Ozery-Flato, R Shamir Annual Symposium on Combinatorial Pattern Matching, 258-269, 2006 | 34 | 2006 |
Framework for identifying drug repurposing candidates from observational healthcare data M Ozery-Flato, Y Goldschmidt, O Shaham, S Ravid, C Yanover JAMIA Open, 2020 | 27 | 2020 |
Adversarial balancing for causal inference M Ozery-Flato, P Thodoroff, M Ninio, M Rosen-Zvi, T El-Hay arXiv preprint arXiv:1810.07406, 2018 | 26 | 2018 |
Graphical user interface based feature extraction application for machine learning and cognitive models LM Yuravlivker, VK Naik, B Krishnapuram, F Farooq, M Angelopoulos, ... US Patent 11,237,713, 2022 | 24 | 2022 |
Modular memoization, tracking and train-data management of feature extraction R Aharonov, Y Goldschmidt, M Ozery-Flato, C Yanover US Patent 10,572,822, 2020 | 23 | 2020 |
Sorting by translocations via reversals theory M Ozery-Flato, R Shamir RECOMB Workshop on Comparative Genomics, 87-98, 2006 | 21 | 2006 |
Fast and efficient feature engineering for multi-cohort analysis of EHR data M Ozery-Flato, C Yanover, A Gottlieb, O Weissbrod, ... Informatics for Health: Connected Citizen-Led Wellness and Population Health …, 2017 | 17 | 2017 |
Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome M Ozery-Flato, N Parush, T El-Hay, Ž Visockienė, L Ryliškytė, J Badarienė, ... Diabetology & metabolic syndrome 5, 1-9, 2013 | 15 | 2013 |
Sorting by reciprocal translocations via reversals theory M Ozery-Flato, R Shamir Journal of Computational Biology 14 (4), 408-422, 2007 | 14 | 2007 |
Emulated Clinical Trials from Longitudinal Real-World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson's Disease D Laifenfeld, C Yanover, M Ozery-Flato, O Shaham, M Rosen-Zvi, N Lev, ... Frontiers in Pharmacology 12, 275, 2020 | 12 | 2020 |
Sorting cancer karyotypes by elementary operations M Ozery-Flato, R Shamir Journal of Computational Biology 16 (10), 1445-1460, 2009 | 11 | 2009 |
A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis N Konz, M Buda, H Gu, A Saha, J Yang, J Chłędowski, J Park, J Witowski, ... JAMA network open 6 (2), e230524-e230524, 2023 | 10 | 2023 |
Identifying and investigating unexpected response to treatment: a diabetes case study M Ozery-Flato, L Ein-Dor, N Parush-Shear-Yashuv, R Aharonov, ... Big data 4 (3), 148-159, 2016 | 10 | 2016 |