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Comment
. 2014 Oct 14;111(41):E4288.
doi: 10.1073/pnas.1415737111. Epub 2014 Sep 24.

Reply to Azuaje: Predicting effective combined therapies for heterogeneous tumors

Boyang Zhao  1 , Michael T Hemann  2 , Douglas A Lauffenburger  3
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Comment

Reply to Azuaje: Predicting effective combined therapies for heterogeneous tumors

Boyang Zhao et al. Proc Natl Acad Sci U S A. .
No abstract available

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Conflict of interest statement

The authors declare no conflict of interest.

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References

    1. Azuaje FJ. Modeling tumor heterogeneity and predicting effective combined therapies through computational optimization algorithms. Proc Natl Acad Sci USA. 2014;111:E4287. - PMC - PubMed
    1. Zhao B, Hemann MT, Lauffenburger DA. Intratumor heterogeneity alters most effective drugs in designed combinations. Proc Natl Acad Sci USA. 2014;111(29):10773–10778. - PMC - PubMed

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