Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates-Reference-Cited by-同舟云学术

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Multiple instance learning to predict immune checkpoint blockade efficacy using neoantigen candidates

Published:2023-11 Issue:11 Volume:26 Page:108014
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Lang Franziska^ORCID,Sorn Patrick,Schrörs Barbara,Weber David,Kramer Stefan,Sahin Ugur,Löwer Martin

Funder

European Commission

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference59 articles.

1. Tumor exome analysis reveals neoantigen-specific T-cell reactivity in an ipilimumab-responsive melanoma;van Rooij;J. Clin. Oncol.,2013

2. Checkpoint blockade cancer immunotherapy targets tumour-specific mutant antigens;Gubin;Nature,2014

3. Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma;Snyder;N. Engl. J. Med.,2014

4. MHC-II neoantigens shape tumour immunity and response to immunotherapy;Alspach;Nature,2019

5. Identification of neoantigens for individualized therapeutic cancer vaccines;Lang;Nat. Rev. Drug Discov.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of tumor-specific splicing from somatic mutations as a source of neoantigen candidates;Bioinformatics Advances;2024-01-01

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