Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.
Quick Facts
What This Study Found
Key Numbers
How They Did This
Why This Research Matters
What This Study Doesn't Tell Us
Trust & Context
- Original Title:
- Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.
- Published In:
- BMC bioinformatics, 20(1), 7 (2019)
- Authors:
- Boehm, Kevin Michael, Bhinder, Bhavneet, Raja, Vijay Joseph, Dephoure, Noah, Elemento, Olivier
- Database ID:
- RPEP-04088
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-04088APA
Boehm, Kevin Michael; Bhinder, Bhavneet; Raja, Vijay Joseph; Dephoure, Noah; Elemento, Olivier. (2019). Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.. BMC bioinformatics, 20(1), 7. https://doi.org/10.1186/s12859-018-2561-z
MLA
Boehm, Kevin Michael, et al. "Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.." BMC bioinformatics, 2019. https://doi.org/10.1186/s12859-018-2561-z
RethinkPeptides
RethinkPeptides Research Database. "Predicting peptide presentation by major histocompatibility ..." RPEP-04088. Retrieved from https://rethinkpeptides.com/research/boehm-2019-predicting-peptide-presentation-by
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Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.