Transformers meets neoantigen detection: a systematic literature review-Reference-Cited by-同舟云学术

Transformers meets neoantigen detection: a systematic literature review

Published:2024-06-01 Issue:2 Volume:21 Page:
ISSN:1613-4516
Container-title:Journal of Integrative Bioinformatics
language:en
Short-container-title:

Author:

Machaca Vicente¹^ORCID,Goyzueta Valeria¹^ORCID,Cruz María Graciel²^ORCID,Sejje Erika³^ORCID,Pilco Luz Marina³^ORCID,López Julio⁴^ORCID,Túpac Yván²^ORCID

Affiliation:

1. 27840 Universidad La Salle , Arequipa , Perú

2. 187038 Universidad Católica San Pablo , Arequipa , Perú

3. Universidad Nacional de San Agustín , Arequipa , Perú

4. Fuerza Aérea del Perú , Arequipa , Perú

Abstract

Abstract Cancer immunology offers a new alternative to traditional cancer treatments, such as radiotherapy and chemotherapy. One notable alternative is the development of personalized vaccines based on cancer neoantigens. Moreover, Transformers are considered a revolutionary development in artificial intelligence with a significant impact on natural language processing (NLP) tasks and have been utilized in proteomics studies in recent years. In this context, we conducted a systematic literature review to investigate how Transformers are applied in each stage of the neoantigen detection process. Additionally, we mapped current pipelines and examined the results of clinical trials involving cancer vaccines.

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/jib-2023-0043/pdf

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