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Plos One|January 26, 2023
A statistical model for early estimation of the prevalence and severity of an epidemic or pandemic from simple tests for infection confirmationYuval Shahar, Osnat MokrynPlos One|April 11, 2020
Size agnostic change point detection framework for evolving networksHadar Miller, Osnat MokrynScientific Reports|June 10, 2022
Analysis of the competition among viral strains using a temporal interaction-driven contagion modelAlex Abbey, Yuval Shahar, Osnat MokrynFrontiers in Immunology|April 19, 2021
Using Domain Based Latent Personal Analysis of B Cell Clone Diversity Patterns to Identify Novel Relationships Between the B Cell Clone Populations in Different TissuesUri Alon, Osnat Mokryn, Uri HershbergChaos (Woodbury, N.Y.)|July 21, 2025
Interpretable transformation and analysis of timelines through learning via surprisabilityOsnat Mokryn, Teddy Lazebnik, Hagit Ben-ShoshanScientific Reports|August 10, 2023
Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal modelYanir Marmor, Alex Abbey, Yuval Shahar, et al.Journal of Biomedical Informatics|February 2, 2024
Evaluating the dynamic interplay of social distancing policies regarding airborne pathogens through a temporal interaction-driven model that uses real-world and synthetic dataOsnat Mokryn, Alex Abbey, Yanir Marmor, et al.Plos One|August 4, 2016
The Role of Temporal Trends in Growing NetworksOsnat Mokryn, Allon Wagner, Marcel Blattner, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 7, 2007
Tomography of scale-free networks and shortest path treesTomer Kalisky, Reuven Cohen, Osnat Mokryn, et al.Pageof 1