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Updated: Jul 26, 2025

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深度STF:通过可解释的深度神经网络预测转录因子结合点,结合序列和形状.

Pengju Ding1, Yifei Wang1, Xinyu Zhang1

  • 1Qingdao University of Science and Technology, China.

Briefings in bioinformatics
|June 16, 2023
PubMed
概括

DeepSTF是一种新的深度学习模型,通过整合DNA序列和形状,准确地预测转录因子结合点 (TFBS). 这种方法改进了了解基因调节和细胞功能的现有方法.

关键词:
双向长期短期记忆 双向长期短期记忆改进了变压器编码器结构.序列和形状的顺序和形状.堆叠的卷积神经网络 堆叠的卷积神经网络转录因子的结合点是转录因子的结合点.

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