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Updated: Jul 22, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
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GCNfold:一种新的轻量级模型,用于RNA二次结构预测的有效提取器

Enbin Yang1, Hao Zhang2, Zinan Zang1

  • 1College of Computer Science and Technology, Jilin University, Changchun, 130012, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China.

Computers in biology and medicine
|July 24, 2023
PubMed
概括

新的深度学习模型GCNfold精确地有效地预测RNA二级结构. 它以更少的参数和更快的速度实现了高精度,超过了较大的模型.

关键词:
图表 卷积网络 卷积网络知识和数据集成知识和数据集成.预测RNA的二次结构变压器变压器变压器联合国网络 联合国网络 联合国网络

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