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Novel computational method for predicting polytherapy switching strategies to overcome tumor heterogeneity and evolution.
Jonsson, Vanessa D; Blakely, Collin M; Lin, Luping; Asthana, Saurabh; Matni, Nikolai; Olivas, Victor; Pazarentzos, Evangelos; Gubens, Matthew A; Bastian, Boris C; Taylor, Barry S; Doyle, John C; Bivona, Trever G.
Affiliation
  • Jonsson VD; Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
  • Blakely CM; Department of Medicine, University of California, San Francisco, CA, USA.
  • Lin L; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
  • Asthana S; Department of Medicine, University of California, San Francisco, CA, USA.
  • Matni N; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
  • Olivas V; Department of Medicine, University of California, San Francisco, CA, USA.
  • Pazarentzos E; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
  • Gubens MA; Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
  • Bastian BC; Department of Medicine, University of California, San Francisco, CA, USA.
  • Taylor BS; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
  • Doyle JC; Department of Medicine, University of California, San Francisco, CA, USA.
  • Bivona TG; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
Sci Rep ; 7: 44206, 2017 03 13.
Article in En | MEDLINE | ID: mdl-28287179
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Adenocarcinoma / Lung Neoplasms / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2017 Document type: Article Affiliation country: Estados Unidos
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Adenocarcinoma / Lung Neoplasms / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2017 Document type: Article Affiliation country: Estados Unidos