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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Bibliografische Detailangaben

Hauptverfasser:	Leiming Fang, Hanlin He, Xingyun Liu, Yiqing Li, Wenjun Song, Yuedong Yang, Taijiao Jiang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2026-05-01
Schriftenreihe:	BMC Genomics
Schlagworte:	TransHybrid Hybridization efficiency Sequence-based deep learning Probe design
Online-Zugang:	https://doi.org/10.1186/s12864-026-12833-5
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