Open AccessGenomic profiling of murine mammary tumors identifies potential personalized drug targets for p53-deficient mammary cancers
Author(s) -
Adam D. Pfefferle,
Yash Agrawal,
Daniel C. Koboldt,
Krishna L. Kanchi,
Jason I. Herschkowitz,
Elaine R. Mardis,
Jeffrey M. Rosen,
Charles M. Perou
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/68yd-xp49
Subject(s) - profiling (computer programming) , mammary tumor , personalized medicine , biology , cancer research , computational biology , drug , drug response , bioinformatics , medicine , cancer , genetics , breast cancer , pharmacology , computer science , operating system