Journal article
Computational prediction of neoantigens: do we need more data or new approaches?
In
Annals of Oncology
—
2018, Volume 29, Issue 4, pp. 799-800
Abstract
Personalized cancer immunotherapy may benefit from improved computational algorithms for identifying neoantigens. Recent results demonstrate that machine learning can improve accuracy. Additional improvements may require more genomic data paired with in vitro T cell reactivity measurements, and more sophisticated algorithms that take into account T cell receptor specificity.
| Language: | English |
|---|---|
| Publisher: | Oxford University Press |
| Year: | 2018 |
| Pages: | 799-800 |
| ISSN: | 11320109 , 09237534 and 15698041 |
| Types: | Journal article |
| DOI: | 10.1093/annonc/mdy070 |
| ORCIDs: | Eklund, Aron Charles |
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