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Paper Details

Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients.
Nat Cancer
61
2021
ATM, CDK, CHD4, Cell, RB1, RNF8, SMAD4, cell lines, cell-line models, patient, patient-derived tumor cells, patients
DNA-Binding Proteins, Humans, Machine Learning, Neural Networks, Computer, Ubiquitin-Protein Ligases
Author NameAffiliation
Jianzhu MaUniversity of California San Diego
Jianzhu MaPurdue University
Samson H FongUniversity of California San Diego
Samson H FongUniversity of California San Diego
Yunan LuoUniversity of Illinois at Urbana-Champaign
Christopher J BakkenistUniversity of Pittsburgh School of Medicine
John Paul ShenUniversity of Texas MD Anderson Cancer Center
Soufiane MourraguiOncode Institute, The Netherlands Cancer Institute
Soufiane MourraguiDelft University of Technology
Lodewyk F A WesselsOncode Institute, The Netherlands Cancer Institute
Lodewyk F A WesselsDelft University of Technology
Marc HafnerInc.
Marc HafnerInc.
Roded SharanTel Aviv University
Roded SharanTel Aviv University
Jian PengUniversity of Illinois at Urbana-Champaign
Trey Ideker (CM4AI)University of California San Diego
Trey Ideker (CM4AI)University of California San Diego
Trey Ideker (CM4AI)University of California San Diego
Trey Ideker (CM4AI)University of California San Diego
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