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The Journal of Physical Chemistry. B|October 19, 2021
Forecasting Avalanches in Branched Actomyosin Networks with Network Science and Machine LearningChengxuan Li, James Liman, Yossi Eliaz, et al.
Physical Review. E|January 20, 2021
Insights from graph theory on the morphologies of actomyosin networks with multilinkersYossi Eliaz, Francois Nedelec, Greg Morrison, et al.
Bioinformatics Advances|October 16, 2023
OffRisk: a docker image for annotating CRISPR off-target sites in the human genomeGil-Ad Barkai, Tal Malul, Yossi Eliaz, et al.
Protein Science : a Publication of the Protein Society|January 26, 2025
CaXML: Chemistry-informed machine learning explains mutual changes between protein conformations and calcium ions in calcium-binding proteins using structural and topological featuresPengzhi Zhang, Jules Nde, Yossi Eliaz, et al.
Physical Review. E|May 20, 2018
Impact of hydrodynamic interactions on protein folding rates depends on temperatureFabio C Zegarra, Dirar Homouz, Yossi Eliaz, et al.
Arxiv|August 7, 2024
Chemistry-informed Machine Learning Explains Calcium-binding Proteins' Fuzzy Shape for Communicating Changes in the Atomic States of Calcium IonsPengzhi Zhang, Jules Nde, Yossi Eliaz, et al.
Scientific Reports|March 6, 2020
Author Correction: Drug-induced PD-L1 expression and cell stress response in breast cancer cells can be balanced by drug combinationYosi Gilad, Yossi Eliaz, Yang Yu, et al.
Scientific Reports|October 24, 2019
Drug-induced PD-L1 expression and cell stress response in breast cancer cells can be balanced by drug combinationYosi Gilad, Yossi Eliaz, Yang Yu, et al.
Iscience|March 26, 2026
A unique malignant cell type per patient tumor encoded in each cancer cell transcriptomeMirca S Saurty-Seerunghen, Elias A El-Habr, Yossi Eliaz, et al.
Communications Biology|March 26, 2021
A genome-scale CRISPR Cas9 dropout screen identifies synthetically lethal targets in SRC-3 inhibited cancer cellsYosi Gilad, Yossi Eliaz, Yang Yu, et al.
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