Literature DB >> 25253894

Modeling tumor heterogeneity and predicting effective combined therapies through computational optimization algorithms.

Francisco J Azuaje1.   

Abstract

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Year:  2014        PMID： 25253894      PMCID： PMC4205602          DOI： 10.1073/pnas.1414893111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


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  2 in total

1.  Intratumor heterogeneity alters most effective drugs in designed combinations.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-07       Impact factor: 11.205

2.  Tumour heterogeneity in the clinic.

Authors:  Philippe L Bedard; Aaron R Hansen; Mark J Ratain; Lillian L Siu
Journal:  Nature       Date:  2013-09-19       Impact factor: 49.962
  2 in total
  1 in total

1.  Reply to Azuaje: Predicting effective combined therapies for heterogeneous tumors.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-24       Impact factor: 11.205
  1 in total

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