Abstract
Neoantigen immunogenicity prediction is a burgeoning field with vast potential; however, the shortage of high-quality data and biases in current datasets limit model generalizability. Here we discuss some of the pitfalls that may underly this limited performance and propose a path forward.
| Original language | English |
|---|---|
| Journal | Nature Cancer |
| Volume | 4 |
| Pages (from-to) | 1618-1621 |
| ISSN | 2662-1347 |
| DOIs | |
| Publication status | Published - 2023 |
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