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Transformers meets neoantigen detection: a systematic literature review
- Source :
- Journal of Integrative Bioinformatics, Vol 21, Iss 2, Pp 17-48 (2024)
- Publication Year :
- 2024
- Publisher :
- De Gruyter, 2024.
-
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.
- Subjects :
- deep learning
neoantigen
review
transformers
bert
cancer
Biotechnology
TP248.13-248.65
Subjects
Details
- Language :
- English
- ISSN :
- 16134516
- Volume :
- 21
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Integrative Bioinformatics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.3985a89d28864fc1b0f6faf0a9a9350b
- Document Type :
- article
- Full Text :
- https://doi.org/10.1515/jib-2023-0043