Can we predict T cell specificity with digital biology and machine learning?
University of Oxford · Rosalind Franklin Institute · +3 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
203
total citations
- FWCI
- 29.49
- Percentile
- 100%
- References
- 122
Citations per year
Authors
5- DHDan Hudson
University of Oxford, Rosalind Franklin Institute, MRC Weatherall Institute of Molecular Medicine, MRC Human Immunology Unit
- RARicardo A. Fernandes
Chinese Academy of Medical Sciences & Peking Union Medical College, University of Oxford
- MBMark Basham
Rosalind Franklin Institute
- GSGraham S. Ogg
Chinese Academy of Medical Sciences & Peking Union Medical College, University of Oxford, MRC Weatherall Institute of Molecular Medicine, MRC Human Immunology Unit
- HKHashem KoohyCorresponding
University of Oxford, MRC Weatherall Institute of Molecular Medicine, MRC Human Immunology Unit
Topics & keywords
Topics
Keywords
- T-cell receptor
- Holy Grail
- Computational biology
- Immunogenicity
- Biology
- DECIPHER
- Set (abstract data type)
- Computer science
No related works found for this paper.
Funding
- MUMcMaster University
- DFDirectorate for Biological Sciences
- MRMedical Research CouncilAwards: MC_UU_12010/3, MC_UU_00036/5, MC_UU_12010, MC_UU_00036/2, MC_UU_00008/5
- EAEngineering and Physical Sciences Research CouncilAward: EP/X527245/1
- BABiotechnology and Biological Sciences Research CouncilAward: BB/T008784/1