Modeling tumor heterogeneity and predicting effective combined therapies through computational optimization algorithms
- PMID: 25253894
- PMCID: PMC4205602
- DOI: 10.1073/pnas.1414893111
Modeling tumor heterogeneity and predicting effective combined therapies through computational optimization algorithms
Conflict of interest statement
The author declares no conflict of interest.
Comment in
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Reply to Azuaje: Predicting effective combined therapies for heterogeneous tumors.Proc Natl Acad Sci U S A. 2014 Oct 14;111(41):E4288. doi: 10.1073/pnas.1415737111. Epub 2014 Sep 24. Proc Natl Acad Sci U S A. 2014. PMID: 25253893 Free PMC article. No abstract available.
Comment on
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Intratumor heterogeneity alters most effective drugs in designed combinations.Proc Natl Acad Sci U S A. 2014 Jul 22;111(29):10773-8. doi: 10.1073/pnas.1323934111. Epub 2014 Jul 7. Proc Natl Acad Sci U S A. 2014. PMID: 25002493 Free PMC article.
References
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- Steuer RE. Multiple Criteria Optimization: Theory, Computation, and Application. Krieger; Malabar, FL: 1989.
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