Accurate prediction of oligonucleotide probe hybridization efficiency via a transformer-based model

Abstract Gene detection chip design critically depends on oligonucleotide probe hybridization efficiency, yet conventional thermodynamic models for its evaluation diverge from experiments, and the lack of comprehensive universal datasets further stops models from reflecting real probe behaviors. To...

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Detalhes bibliográficos

Principais autores:	Leiming Fang, Hanlin He, Xingyun Liu, Yiqing Li, Wenjun Song, Yuedong Yang, Taijiao Jiang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-05-01
coleção:	BMC Genomics
Assuntos:	TransHybrid Hybridization efficiency Sequence-based deep learning Probe design
Acesso em linha:	https://doi.org/10.1186/s12864-026-12833-5
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