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Nature Computational Science|December 5, 2024
Interpreting single-cell and spatial omics data using deep neural network training dynamicsJonathan Karin, Reshef Mintz, Barak Raveh, et al.Bioinformatics Advances|August 27, 2025
The TEMPO integrator: accelerating molecular simulations by temporally multiscale force predictionReshef Mintz, Barak RavehNature Biotechnology|February 28, 2023
scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matchingJonathan Karin, Yonathan Bornfeld, Mor NitzanPhysical Review. E|January 21, 2026
Enhancing swarms' durability to threats via graph signal processing and graph-neural-network-based generative modelingJonathan Karin, Zoe Piran, Mor NitzanStructure (London, England : 1993)|December 4, 2014
A backdoor to the nucleus that runs in the family?Barak RavehNature Communications|January 26, 2024
SiFT: uncovering hidden biological processes by probabilistic filtering of single-cell dataZoe Piran, Mor NitzanBioinformatics (Oxford, England)|November 25, 2025
Building Multiscale Markov State Models by Systematic Mapping of Temporal CommunitiesNir Nitskansky, Kessem Clein, Barak RavehProceedings of the National Academy of Sciences of the United States of America|April 10, 2021
Revealing lineage-related signals in single-cell gene expression using random matrix theoryMor Nitzan, Michael P BrennerCurrent Opinion in Chemical Biology|November 5, 2013
Druggable protein-protein interactions--from hot spots to hot segmentsNir London, Barak Raveh, Ora Schueler-FurmanMethods in Molecular Biology (Clifton, N.J.)|February 11, 2012
Modeling peptide-protein interactionsNir London, Barak Raveh, Ora Schueler-FurmanPageof 8