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Updated: Jan 22, 2026

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GSR-ST:使用多尺度特征融合进行基因组信号和区域预测的通用时空框架

Jujuan Zhuang1, Ya Lu1

  • 1The School of Science, Dalian Maritime University, Dalian 116026, PR China.

Computational biology and chemistry
|January 20, 2026
PubMed
概括

一个新的深度学习框架,GSR-ST,准确地识别了关键的基因组区域,如多化信号 (PAS) 和翻译启动位点 (TIS). 这种计算工具增强了对跨物种基因调节的理解.

关键词:
基因组信号和区域聚基化信号预测的预测发起人预测的预测时空网络是一个时空网络.翻译启动网站的预测和预测.

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