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Novel computational method for predicting polytherapy switching strategies to overcome tumor heterogeneity and evolution
Vanessa D. Jonsson, View ORCID ProfileCollin M. Blakely, Luping Lin, Saurabh Asthana, Victor Olivas, Matthew A. Gubens, View ORCID ProfileNikolai Matni, Boris C. Bastian, Barry S. Taylor, John C. Doyle, Trever G. Bivona
doi: https://doi.org/10.1101/086553
Vanessa D. Jonsson
1Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA
Collin M. Blakely
2Department of Medicine, University of California, San Francisco, CA
3Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
Luping Lin
2Department of Medicine, University of California, San Francisco, CA
3Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
Saurabh Asthana
2Department of Medicine, University of California, San Francisco, CA
3Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
Victor Olivas
2Department of Medicine, University of California, San Francisco, CA
3Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
Matthew A. Gubens
2Department of Medicine, University of California, San Francisco, CA
3Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
Nikolai Matni
1Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA
Boris C. Bastian
3Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
4Department of Pathology, University of California, San Francisco, CA
Barry S. Taylor
5Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center
6Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
7Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
John C. Doyle
8Department of Control and Dynamical Systems, California Institute of Technology, Pasadena, CA
9Department of Electrical Engineering, California Institute of Technology, Pasadena, CA
10Department of Biological Engineering, California Institute of Technology, Pasadena, CA
Trever G. Bivona
2Department of Medicine, University of California, San Francisco, CA
3Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA
11Cellular and Molecular Pharmacology, University of California, San Francisco, CA
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Posted November 08, 2016.
Novel computational method for predicting polytherapy switching strategies to overcome tumor heterogeneity and evolution
Vanessa D. Jonsson, Collin M. Blakely, Luping Lin, Saurabh Asthana, Victor Olivas, Matthew A. Gubens, Nikolai Matni, Boris C. Bastian, Barry S. Taylor, John C. Doyle, Trever G. Bivona
bioRxiv 086553; doi: https://doi.org/10.1101/086553
Novel computational method for predicting polytherapy switching strategies to overcome tumor heterogeneity and evolution
Vanessa D. Jonsson, Collin M. Blakely, Luping Lin, Saurabh Asthana, Victor Olivas, Matthew A. Gubens, Nikolai Matni, Boris C. Bastian, Barry S. Taylor, John C. Doyle, Trever G. Bivona
bioRxiv 086553; doi: https://doi.org/10.1101/086553
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