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Paper Details

Deciphering the signaling network of breast cancer improves drug sensitivity prediction.
Cell Syst
21
2021
DDIT3, PI3K, breast cancer, breast cancer cell lines, cancer, cell line, growth factor EGF, mouse, patient, patient-derived xenograft mouse models, patients, single, single cells
Author NameAffiliation
Oscar M RuedaDepartment of Oncology and Cancer Research UK Cambridge Institute, University of Cambridge
Alejandra BrunaDepartment of Oncology and Cancer Research UK Cambridge Institute, University of Cambridge
Carlos CaldasDepartment of Oncology and Cancer Research UK Cambridge Institute, University of Cambridge, NIHR Cambridge Biomedical Research Centre and Cambridge Experimental Cancer Medicine Centre at Cambridge University Hospitals NHS Foundation Trust
Andreas BeyerUniversity of Cologne, Germany Center for Molecular Medicine (CMMC), Germany Institute for Genetics
Paola PicottiInstitute of Molecular Systems Biology, ETH Zurich
Julio Saez-RodriguezInstitute for Computational Biomedicine, Heidelberg University, Germany Joint Research Centre for Computational Biomedicine (JRC-COMBINE), RWTH Aachen University
Bernd BodenmillerUniversity of Zurich, Switzerland Institute of Molecular Life Sciences
Bernd BodenmillerUniversity of Zurich, Switzerland Institute of Molecular Life Sciences
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