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Eytan Ruppin

Showing results (1-10 of 359) with videos related to

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Nature Cancer|March 4, 2026
A tumultuous journey that led to AI in cancerEytan Ruppin
Nature Reviews. Neuroscience|February 12, 2002
Evolutionary autonomous agents: a neuroscience perspectiveEytan Ruppin
Plos One|October 3, 2012
Analyzing gene expression from whole tissue vs. different cell types reveals the central role of neurons in predicting severity of Alzheimer's diseaseShiri Stempler, Eytan Ruppin
Artificial Life|August 9, 2003
Evolving small neurocontrollers with self-organized compact encodingShlomy Boshy, Eytan Ruppin
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|October 17, 2012
Predicting drug targets and biomarkers of cancer via genome-scale metabolic modelingLivnat Jerby, Eytan Ruppin
EMBO Reports|September 7, 2013
Taming the complexity of large modelsMatthew Oberhardt, Eytan Ruppin
Proceedings of the National Academy of Sciences of the United States of America|April 13, 2006
Direct evolution of genetic robustness in microRNAElhanan Borenstein, Eytan Ruppin
JAMA Oncology|August 23, 2019
Multiomics Prediction of Response Rates to Therapies to Inhibit Programmed Cell Death 1 and Programmed Cell Death 1 Ligand 1Joo Sang Lee, Eytan Ruppin
Molecular & Cellular Oncology|June 17, 2016
Moving ahead on harnessing synthetic lethality to fight cancerLivnat Jerby-Arnon, Eytan Ruppin
Proceedings of the National Academy of Sciences of the United States of America|May 18, 2005
Regulatory on/off minimization of metabolic flux changes after genetic perturbationsTomer Shlomi, Omer Berkman, Eytan Ruppin
Pageof 36

Showing results (1-10 of 359) with videos related to

Sort By:
Pageof 36
Nature Cancer|March 4, 2026
A tumultuous journey that led to AI in cancerEytan Ruppin
Nature Reviews. Neuroscience|February 12, 2002
Evolutionary autonomous agents: a neuroscience perspectiveEytan Ruppin
Plos One|October 3, 2012
Analyzing gene expression from whole tissue vs. different cell types reveals the central role of neurons in predicting severity of Alzheimer's diseaseShiri Stempler, Eytan Ruppin
Artificial Life|August 9, 2003
Evolving small neurocontrollers with self-organized compact encodingShlomy Boshy, Eytan Ruppin
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|October 17, 2012
Predicting drug targets and biomarkers of cancer via genome-scale metabolic modelingLivnat Jerby, Eytan Ruppin
EMBO Reports|September 7, 2013
Taming the complexity of large modelsMatthew Oberhardt, Eytan Ruppin
Proceedings of the National Academy of Sciences of the United States of America|April 13, 2006
Direct evolution of genetic robustness in microRNAElhanan Borenstein, Eytan Ruppin
JAMA Oncology|August 23, 2019
Multiomics Prediction of Response Rates to Therapies to Inhibit Programmed Cell Death 1 and Programmed Cell Death 1 Ligand 1Joo Sang Lee, Eytan Ruppin
Molecular & Cellular Oncology|June 17, 2016
Moving ahead on harnessing synthetic lethality to fight cancerLivnat Jerby-Arnon, Eytan Ruppin
Proceedings of the National Academy of Sciences of the United States of America|May 18, 2005
Regulatory on/off minimization of metabolic flux changes after genetic perturbationsTomer Shlomi, Omer Berkman, Eytan Ruppin
Pageof 36