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Updated: Jun 30, 2025

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GNNMF:一个多视图图形神经网络用于ATAC-seq动机发现

Shuangquan Zhang1, Xiaotian Wu2, Zhichao Lian3

  • 1School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.

BMC genomics
|March 22, 2024
PubMed
概括

一个新的图形神经网络模型,GNNMF,有效地识别了使用测序 (ATAC-seq) 数据从转化酶可访问染色体的测试中多个转录因子结合点 (TFBS). 该模型通过检测不同长度的图案,克服了以前方法的局限性,提高了TFBS预测准确度.

关键词:
ATAC-seq图案中的一个.同时存在的概率概率.图表神经网络的神经网络多视图异质图表多视图异质图表

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