Uzi Harush

Efficient treatment of heterogeneous malignant cell populations

Uzi Harush, Ravid Straussman, Baruch Barzel

When confronted with an undesired cell population, such as bacterial infections or tumors, we seek the most effective treatment, designed to eliminate the population as rapidly as possible. A common practice is to monitor the cells short-term response to the treatment, and …

IRS1 phosphorylation underlies the non-stochastic probability of cancer cells to persist during EGFR inhibition therapy

Adi Jacob Berger, Elinor Gigi, Lana Kupershmidt, Zohar Meir et autres

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Reply to: Asymptotic scaling describing signal propagation in complex networks

Chittaranjan Hens, Uzi Harush, Reuven Cohen, Baruch Barzel

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Response times of nodes in a complex network environment -- two potential derivation tracks

Chittaranjan Hens, Uzi Harush, Reuven Cohen, Baruch Barzel

The spread of perturbative signals in complex networks is governed by the combined effect of the network topology and its intrinsic nonlinear dynamics. Recently, the resulting spreading patterns have been analyzed and predicted, shown to depend on a single scaling relationship, linking …

Spatiotemporal signal propagation in complex networks

Chittaranjan Hens, Uzi Harush, Simi Haber, Reuven Cohen et autres

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Predicting the patterns of spatio-temporal signal propagation in complex networks

Chittaranjan Hens, Uzi Harush, Reuven Cohen, Baruch Barzel

A major achievement in the study of complex networks is the observation that diverse systems, from sub-cellular biology to social networks, exhibit universal topological characteristics. Yet this universality does not naturally translate to the dynamics of these systems , hindering our progress …

Dynamic patterns of information flow in complex networks

Uzi Harush, Baruch Barzel

Although networks are extensively used to visualize information flow in biological, social and technological systems, translating topology into dynamic flow continues to challenge us, as similar networks exhibit fundamentally different flow patterns, driven by different interaction mechanisms. To uncover a network's actual …

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RIDS: Robust Identification of Sparse Gene Regulatory Networks from Perturbation Experiments

Hoi-To Wai, Anna Scaglione, Uzi Harush, Baruch Barzel et autres

Reconstructing the causal network in a complex dynamical system plays a crucial role in many applications, from sub-cellular biology to economic systems. Here we focus on inferring gene regulation networks (GRNs) from perturbation or gene deletion experiments. Despite their scientific merit, such …