Skip to main navigation Skip to search Skip to main content

Breaking the performance ceiling for neoantigen immunogenicity prediction

  • Hugh O'Brien
  • , Max Salm*
  • , Laura Morton
  • , Maciej Szukszto
  • , Felix O'Farrell
  • , Charlotte Boulton
  • , Pablo D. Becker
  • , Yardena Samuels
  • , Charles Swanton
  • , Marc R. Mansour
  • , Sine Reker Hadrup*
  • , Sergio A. Quezada*
  • *Corresponding author for this work
  • Achilles Therapeutics Ltd
  • University College London
  • Weizmann Institute of Science
  • The Francis Crick Institute

Research output: Contribution to journalJournal articleResearchpeer-review

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 languageEnglish
JournalNature Cancer
Volume4
Pages (from-to)1618-1621
ISSN2662-1347
DOIs
Publication statusPublished - 2023

Fingerprint

Dive into the research topics of 'Breaking the performance ceiling for neoantigen immunogenicity prediction'. Together they form a unique fingerprint.

Cite this