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Updated: Jul 21, 2025

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GDCL-NcDA:通过深度图形学习和深度矩阵因子化之间的对比学习来识别非编码RNA疾病关联.

Ning Ai1,2, Yong Liang3,4, Haoliang Yuan5

  • 1Peng Cheng Laboratory, Shenzhen, 518005, Guangdong, China.

BMC genomics
|July 27, 2023
PubMed
概括

本研究介绍了GDCL-NcDA,这是一个用于识别非编码RNA (ncRNA) 和疾病关联的计算框架. 它通过整合各种数据源和采用对比学习来提高预测的准确性和稳定性.

关键词:
相反的学习学习.深度图形学习 (deep graph learning) 是一种深度图形学习的方法.深度矩阵分解因子化多源异质网络 多源异质网络非编码RNA疾病的关联.

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