Optimizing clustering of CDR3 sequences using natural language processing, Word2Vec, and KMeans
T-cell receptor (TCR) sequencing has emerged as a powerful tool for understanding adaptive immune responses, yet challenges persist in deciphering the immense diversity of Complementarity-Determining Region 3 (CDR3) sequences. This study presents a novel natural language processing (NLP)-based pipel...
Kaydedildi:
| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2025-10-01
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| Seri Bilgileri: | Frontiers in Bioinformatics |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/articles/10.3389/fbinf.2025.1623488/full |
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