完善基因调节网络的计算推理:将淘汰数据集成到多任务框架中

Wentao Cui1,2, Qingqing Long1, Meng Xiao1,2

  • 1Computer Network Information Center, Chinese Academy of Sciences, CAS Informatization Plaza No. 2 Dong Sheng Nan Lu, Haidian District, Beijing, 100083, China.

PubMed
概括

本研究介绍了MTLGRN,这是一个用于基因调节网络 (GRN) 重建的新型图形神经网络 (GNN) 框架. MTLGRN有效地集成基因促进子序列和生物特征,以提高GRN推断的准确性.

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