113 citations · 124 across the 3 of their papers we have counts for
3 papers
q-bio.GN2023★ 7 cited
Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures
Teddy Lazebnik, Liron Simon-Keren
Genome data are crucial in modern medicine, offering significant potential for diagnosis and treatment. Thanks to technological advancements, many millions of healthy and diseased…
physics.flu-dyn2023★ 4 cited
Improved Prediction of Settling Behaviour of Solid Particles through Machine Learning Analysis of Experimental Retention Time Data
Liron Simon Keren, Teddy Lazebnik, Alex Liberzon
The motion of particles through density-stratified interfaces is a common phenomenon in environmental and engineering applications. However, the mechanics of particle-stratificatio…
cs.LG2022★ 113 cited
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge
Liron Simon Keren, Alex Liberzon, Teddy Lazebnik
Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel, open-source computational fra…