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    • Erratum to: Modeling precision treatment of breast cancer 

      Daemen, Anneleen; Griffith, Obi L; Heiser, Laura M; Wang, Nicholas J; Enache, Oana M; Sanborn, Zachary; Pepin, Francois; Durinck, Steffen; Korkola, James E; Griffith, Malachi; Hur, Joe S; Huh, Nam; Chung, Jongsuk; Cope, Leslie; Fackler, Mary Jo; Umbricht, Christopher; Sukumar, Saraswati; Seth, Pankaj; Sukhatme, Vikas P; Jakkula, Lakshmi R; Lu, Yiling; Mills, Gordon B; Cho, Raymond J; Collisson, Eric A; van’t Veer, Laura J; Spellman, Paul T; Gray, Joe W (BioMed Central, 2015)
      During the type-setting of the final version of the article [1] some of the additional files were swapped. The correct files are republished in this Erratum. The online version of the original article can be found under ...
    • Modeling precision treatment of breast cancer 

      Daemen, Anneleen; Griffith, Obi L; Heiser, Laura M; Wang, Nicholas J; Enache, Oana M; Sanborn, Zachary; Pepin, Francois; Durinck, Steffen; Korkola, James E; Griffith, Malachi; Hur, Joe S; Huh, Nam; Chung, Jongsuk; Cope, Leslie; Fackler, Mary Jo; Umbricht, Christopher; Sukumar, Saraswati; Seth, Pankaj; Sukhatme, Vikas P; Jakkula, Lakshmi R; Lu, Yiling; Mills, Gordon B; Cho, Raymond J; Collisson, Eric A; van’t Veer, Laura J; Spellman, Paul T; Gray, Joe W (BioMed Central, 2013)
      Background: First-generation molecular profiles for human breast cancers have enabled the identification of features that can predict therapeutic response; however, little is known about how the various data types can best ...