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

doi:https://doi.org/10.1038/s43018-023-00675-z

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

Department of Molecular Cell Biology

Weizmann Institute of Science

Research output: Contribution to journal › Comment/debate › peer-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 language	English
Pages (from-to)	1618-1621
Number of pages	4
Journal	Nature Cancer
Volume	4
Issue number	12
DOIs	https://doi.org/10.1038/s43018-023-00675-z
State	Published - 15 Dec 2023

All Science Journal Classification (ASJC) codes

Oncology
Cancer Research

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https://doi.org/10.1038/s43018-023-00675-z

Cite this

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title = "Breaking the performance ceiling for neoantigen immunogenicity prediction",

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.",

author = "Hugh O{\textquoteright}Brien and Max Salm and Laura Morton and Maciej Szukszto and Felix O{\textquoteright}Farrell and Charlotte Boulton and Becker, {Pablo D.} and Yardena Samuels and Charles Swanton and Mansour, {Marc R.} and {Reker Hadrup}, Sine and Quezada, {Sergio A.}",

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AU - O’Brien, Hugh

AU - Salm, Max

AU - Morton, Laura

AU - Szukszto, Maciej

AU - O’Farrell, Felix

AU - Boulton, Charlotte

AU - Becker, Pablo D.

AU - Samuels, Yardena

AU - Swanton, Charles

AU - Mansour, Marc R.

AU - Reker Hadrup, Sine

AU - Quezada, Sergio A.

PY - 2023/12/15

Y1 - 2023/12/15

N2 - 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.

AB - 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.

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DO - https://doi.org/10.1038/s43018-023-00675-z

M3 - تعليقَ / نقاش

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SN - 1474-175X

VL - 4

SP - 1618

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JO - Nature Cancer

JF - Nature Cancer

IS - 12

ER -

Breaking the performance ceiling for neoantigen immunogenicity prediction

Abstract

All Science Journal Classification (ASJC) codes

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